scholarly journals The Viability of Outsourcing in Organisational Performance: Benefits and Risks

2021 ◽  
Author(s):  
Mário Franco ◽  
Margarida Rodrigues ◽  
Rui Silva
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Transaction Costs ◽  
Value Chain ◽  
Organisational Performance ◽  
Use Of Resources ◽  
A Value ◽  
Organisational Structures ◽  
Decision Making Model

Outsourcing is part of a system, as it includes products and services integrated in a value chain and which are performed by an external (contracted) firm, aiming to establish an interdependent, collaborative and trusting relationship between the contracting and contracted firms. Like any dimension of business in organisations, changes in organisational structures and in how the service is produced/provided, outsourcing brings benefits and risks. Therefore, from literature review method, this chapter aims to explore the concept of outsourcing as a differentiating tool in organisations’ performance, emphasising the benefits and risks. The results showed the dimensions to consider in the decision to implement outsourcing, which are: (1) transaction costs, (2) use of resources, and (3) collaboration between the parties. The contribution of the study is to present a synopsis of the outsourcing topic, specifically the theories that support it, its benefits and risks. Additionally, a decision-making model is presented, in the certainty of its usefulness for the organizations’ managers.

scholarly journals Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19

2021 ◽  
Vol 13 ◽  
pp. 184797902110233
Author(s):  
Stefania Bait ◽  
Serena Marino Lauria ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Multinational Enterprises ◽  
Value Added ◽  
Plant Performance ◽  
Multi Criteria Decision Making ◽  
African Countries ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Decision Making Model

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.

scholarly journals A Slack-Based Measures for Improving the Efficiency Performance of Departments in Universitas Malikussaleh

2018 ◽  
Vol 7 (2.14) ◽  
pp. 491 ◽  
Author(s):  
Dahlan Abdullah ◽  
Tulus . ◽  
Saib Suwilo ◽  
Syahril Efendi ◽  
Hartono . ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Research Technology ◽  
Use Of Resources ◽  
A Value ◽  
Decision Making Unit ◽  
Efficiency Performance ◽  
Dea Efficiency ◽  
The Republic ◽  
Performance Evaluation Method

Data Envelopment Analysis (DEA) is a data-oriented performance evaluation method that has a very satisfactory performance when there are multiple inputs and outputs presented in the form of set of peer Decision Making Units (DMU). In the discussion of DEA, basically measures the efficiency of each DMU in specific performance based on DEA Efficiency Scores. In DEA, when there is a value of Non-Zero Input and Output Slacks then this often means inefficiency. This scalar measures directly with the input surplus and the output of the short decision of the decision making unit (DMU). Universitas Malikussaleh as one of the State Universities in Indonesia, it is necessary to follow the regulations of the Ministry of Research, Technology and Higher Education of the Republic of Indonesia (KEMENRISTEKDIKTI), one of which is the measurement of efficiency based on the number of lecturers research, the efficient use of resources included in the number of lecturers and employees, as well as students who can be accommodated based on efficiency measurements using DEA. This paper will measure the efficiency of each department in Malikussaleh University and if there is an inefficient department then it will be measured based on slack-based measures to advise aspects that need attention so that the department can be efficient.  

scholarly journals Value Chain Creation in Business Analytics

2021 ◽  
Vol 29 (4) ◽  
pp. 131-147
Author(s):  
Dong Yoo ◽  
James J. Roh
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Information Value ◽  
Organizational Resilience ◽  
Business Analytics ◽  
Quality Outcomes ◽  
A Value ◽  
Net Benefits ◽  
Analytical Technology ◽  
Practical Implications

Firms are awash in big data and analytical technology as part of the process of deriving values in the current turbulent environment. The literature has reached a consensus that investments in technology only may not reap benefits from business analytics (BA). As such, the main purpose of BA is not about how to install technical capabilities, but about how to create a process whereby a firm builds a value chain converting data into insights and ultimately into quality outcomes. Drawing upon the theory of the information value chain, this study develops a BA value chain creation model and tests it with 268 firms. Results show that organizational resilience, absorptive capacity, and analytical IT capabilities are critical antecedents of analytical decision-making quality, which in turn influences BA net benefits. In particular, organizational resilience emerges as a more significant determinant of analytical decision-making quality than technology and people in the BA value chain creation. Theoretical and practical implications are also discussed in this paper.

Agribusiness development and the role of value chain business associations

2016 ◽  
Vol 7 (4) ◽  
pp. 510-534 ◽  
Author(s):  
Daniel Wilson Ndyetabula ◽  
Olav Jull Sørensen ◽  
Anna A. Temu
Keyword(s):  
Literature Review ◽  
Developing Country ◽  
Value Chain ◽  
Fruits And Vegetables ◽  
Business Associations ◽  
Stepping Stones ◽  
Content Type ◽  
Business Association ◽  
A Value ◽  
Chain Business

Purpose The purpose of this paper is to explore the rationale for value chain business associations and construct a conceptual framework for establishing and managing a value chain association, using the value chain for dried fruits and vegetables in Tanzania as the empirical basis. Design/methodology/approach To achieve the objectives of the paper, a conventional approach involving literature review, framework development, and data collection and analysis was used to conceptualise the organisation of a value chain association in a developing country context. Findings The study finds rationale for a value chain-based business association based on the literature review, observations and discussions from the stakeholder workshop. Research limitations/implications It has been suggested that upgrading the currently fragmented dried fruit and vegetable value chain to encompass all value chain actors might have implications towards “creativity”, “innovation” and “entrepreneurial abilities” along the value chain, i.e. resources and competences that could enhance the value of the market offer and thus the competitiveness of the whole value chain. A value chain-based business association might be one of the stepping-stones to enhance innovative and entrepreneurial abilities for strong and competitive value chain activities. Originality/value If the literature has been relatively silent on business associations understood primarily as industry associations, it has been completely silent on value chain associations. This paper therefore makes explicit contribution on the conceptualization of value chain association with a particular focus on the developing country setting.

Intelligent decision-making model based on minority game for resource allocation in cloud manufacturing

2020 ◽  
Vol 58 (11) ◽  
pp. 2305-2325 ◽  
Author(s):  
Daniela Carlucci ◽  
Paolo Renna ◽  
Sergio Materi ◽  
Giovanni Schiuma
Keyword(s):  
Decision Making ◽  
Private Information ◽  
Decision Model ◽  
Complete Information ◽  
Cloud Manufacturing ◽  
Minority Game ◽  
Content Type ◽  
Model Based ◽  
Use Of Resources ◽  
Decision Making Model

PurposeThis paper proposes a model based on minority game (MG) theory to support the decision-making regarding the efficient allocation and exploitation of resources/services among the partners of a cloud manufacturing (CMfg) system. CMfg system is a new manufacturing paradigm to share manufacturing capabilities and resources on a cloud platform. The use of a decision model to organize and manage the resources and services provided by the autonomous participants of a CMfg has crucial relevance for the system's effectiveness and efficiency.Design/methodology/approachThis research proposes a noncooperation model based on MG theory. The MG is designed to make decisions on the use of resources/services among the partners of CMfg with private information. A simulation environment was developed to test the efficiency of the proposed decision model. Moreover, an ideal decision model with complete information among the partners was used as a benchmark model.FindingsThe simulation results show how the application of the proposed MG model outperforms the MG model usually proposed in the literature. In particular, the proposed decision model based on private information has an efficiency closer to the ideal model with complete information among the partners of a CMfg.Originality/valueThis paper advances knowledge about the application of MG in the field of CMfg system. The proposed decision-making model based on MG is a promising approach to help enterprises, and especially small and medium enterprises, to participate in CMfg initiatives and to develop their business.

scholarly journals Analyzing agribusiness value chains: a literature review

2019 ◽  
Vol 22 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Pablo Mac Clay ◽  
Roberto Feeney
Keyword(s):  
Literature Review ◽  
Value Chain ◽  
Main Part ◽  
Historical Perspective ◽  
Value Chains ◽  
Value Chain Analysis ◽  
A Value ◽  
Chain Analysis ◽  
Narrow Definition ◽  
Points Of View

The goal of our work is to review methodologies to analyze value chains, particularly within the agribusiness sector. The first part of the analysis delves into the value chain concept, with the aim of discovering how the concept has changed from an historical perspective, and what would be an acceptable narrow definition. The second and main part of the analysis seeks to study the methodological techniques for approaching and accurately analyzing a value chain in the agribusiness sector. To such end, we will review the literature for different existing methodologies, in order to understand what steps and dimensions should be considered in a value chain study. Finally, we will identify a set of outlines that are common to all the papers obtained from the literature review to help to determine the approaches or points of view that should be considered for an agribusiness value chain analysis.

A Value-Based Decision-Making Model for Selecting Sustainable Materials for Buildings

2021 ◽  
Vol 11 (6) ◽  
pp. 2279
Author(s):  
Amirul Afiq Bin Ruslan ◽  
Ezzaddin Abdullah Ali Al-Atesh ◽  
Yani Rahmawati ◽  
Christiono Utomo ◽  
Noor Amila Wan Abdullah Zawawi ◽  
...  
Keyword(s):  
Decision Making ◽  
A Value ◽  
Sustainable Materials ◽  
Decision Making Model

scholarly journals Development of Multi-Criteria Decision Making Model in the Packaged Beverage Industry to Minimize Production Costs and Maximize Machine Utility using the Step Method

2021 ◽  
Vol 1 (1) ◽  
pp. 535-544
Author(s):  
Puryani Puryani ◽  
Sutrisno Sutrisno
Keyword(s):  
Decision Making ◽  
Production Costs ◽  
Multi Criteria Decision Making ◽  
Objective Functions ◽  
Step Method ◽  
Trade Off ◽  
Use Of Resources ◽  
Beverage Industry ◽  
Decision Making Problem ◽  
Decision Making Model

The packaged beverage industry has grown rapidly. Now a packaged beverage industry has emerged with various brands. The emergence of many competitors, requires the packaged beverage industry to implement a strategy to survive and win the competition. One of these strategies is to make savings and maximize the use of resources. The savings made are contradictory problems with maximizing the use of resources, this is due to the use of resources, for example, the use of machines will require operational costs, even though the industry must make savings.The problem above is a multi-criteria decision making problem. Multi-criteria decision-making problems are characterized by conflicting goals on a problem to be resolved. The meaning of conflicting goals is that optimizing the value of one objective function will reduce the level of optimality of the other objective functions. One of the savings in an industry is to minimize production costs, while maximizing the use of resources, one of which can be done by maximizing machine utility. To increase the competitiveness of the packaged beverage industry, it is necessary to minimize production costs while maximizing machine utility. This can be done if the company's management implements policies to optimally achieve the two contradictory company goals. Optimization of contradictory or conflicting company goals is a multi-criteria decision-making problem. To facilitate company management in making decisions on conflicting company goals, it is necessary to develop a multi-criteria decision-making model. In this study, a multi-criteria decision-making model will be developed to optimize two conflicting objectives, namely minimizing production costs and maximizing machine utility, with limitations in the form of company resources to achieve these goals. To optimize the multi-criteria decision-making model developed using the step method. The advantage of this method when compared to other multi-criteria decision-making techniques is the iteration in determining the value of the trade-off (simultaneous search for optimal values of two conflicting objective functions). If the determination of the value of the trade-off in an iteration does not satisfy the decision maker, then the alternative value of the trade-off can be found by doing the next iteration. Optimization of the multi-criteria decision-making model will result in minimal production costs and maximum machine utility. The multi-criteria decision-making model that was developed also resulted in a production plan that was in accordance with the number of consumer demands. In addition, the production planning carried out will also be in accordance with the capacity of the warehouse, because the model developed takes into account the capacity of the warehouse.

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