scholarly journals Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA)

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 976
Author(s):  
Vladimir Jakovljevic ◽  
Mališa Zizovic ◽  
Dragan Pamucar ◽  
Željko Stević ◽  
Miloljub Albijanic
Keyword(s):  
Human Resources ◽  
Quadratic Equation ◽  
Measurement Scale ◽  
Data Normalization ◽  
Linear Quadratic ◽  
Reversal Problem ◽  
Defining Relations ◽  
Rank Reversal ◽  
Decreasing Functions ◽  
The Impact

Multi-criteria decision-making methods (MCDM) represent a very powerful tool for making decisions in different areas. Making a rational and reliable decision, while respecting different factors, is a challenging and difficult task; MCDM models have a great impact on achieving this goal. In this paper, a new MCDM technique is presented—ranking alternatives by defining relations between the ideal and anti-ideal alternative (RADERIA), which was tested for the evaluation of human resources (HR) in a transportation company. The RADERIA model has three key advantages that recommend it for future use: (1) the RADERIA model has a new approach for data normalization that enables defining the normalization interval according to the judgments of a decision-maker; (2) an adaptive model for data normalization of the RADERIA model allows tough conversion into various forms of decreasing functions (linear, quadratic equation, etc.); and (3) the resistance of the RADERIA model to the rank reversal problem. Furthermore, in many simulations, the RADERIA method has shown stability when processing a larger number of datasets. This was also confirmed by a case study with 36 alternatives, as considered in this paper. The results and verification of the proposed new method were acquired through a comprehensive verification of the complexity of the results. The complexity of the results was executed through (1) comparison with four other multi-criteria methods, (2) checking the resistance of the RADERIA model to the rank reversal problem, and (3) the analysis of the impact of changes in the measurement scale on the ranking results.

scholarly journals Eliminating Rank Reversal Problem Using a New Multi-Attribute Model—The RAFSI Method

Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 1015 ◽  
Author(s):  
Mališa Žižović ◽  
Dragan Pamučar ◽  
Miloljub Albijanić ◽  
Prasenjit Chatterjee ◽  
Ivan Pribićević
Keyword(s):  
Decision Making ◽  
Real World ◽  
Mathematical Formulation ◽  
Simple Algorithm ◽  
Data Normalization ◽  
Reversal Problem ◽  
Rank Reversal ◽  
Multi Attribute Decision Making ◽  
Attribute Model ◽  
Real World Problems

Multi-attribute decision-making (MADM) methods represent reliable ways to solve real-world problems for various applications by providing rational and logical solutions. In reaching such a goal, it is expected that MADM methods would eliminate inconsistencies like rank reversal issues in a given solution. In this paper, an endeavor is taken to put forward a new MADM method, called RAFSI (Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval), which successfully eliminates the rank reversal problem. The developed RAFSI method has three major advantages that recommend it for further use: (i) its simple algorithm helps in solving complex real-world problems, (ii) RAFSI method has a new approach for data normalization, which transfers data from the starting decision-making matrix into any interval, suitable for making rational decisions, (iii) mathematical formulation of RAFSI method eliminates the rank reversal problem, which is one of the most significant shortcomings of existing MADM methods. A real-time case study that shows the advantages of RAFSI method is presented. Additional comprehensive analysis, including a comparison with other three traditional MADM methods that use different ways for data normalization and testing the resistance of RAFSI method and other MADM methods to rank the reversal problem, is also carried out.

From strategic human resources to organization performance

2014 ◽  
Author(s):  
Ana Rita Damas Oliveira ◽  
Paulo Alexandre Guedes Lopes Henriques ◽  
Teresa Cristina Clímaco Monteiro de Oliveira
Keyword(s):  
Human Resources ◽  
Business Strategy ◽  
Organization Performance ◽  
Case Study Methodology ◽  
Strategic Human Resources ◽  
The People ◽  
Sustainable Advantage ◽  
Strategy Alignment ◽  
And Performance ◽  
The Impact

Much has been written about the link between HR and performance, however consensus has yet not been found concerning the understanding on how that relationship comes together. Empirically, no direct impact has been found and research has only suggested an indirect impact. Consequently, the Strategic HRM field is particularly interested on the understanding of the mediating variables that impact the organization performance. Besides the integrated and business strategy alignment of the HR function, it should be considered that it is the people (HR) of the organization and not their practices that determine the company´s competitive advantage. (Messersmith & Guthrie, 2010) argue that it is the impact of those practices that represent “the true resource and enable a sustainable advantage over industry rivals”. The objetive of this research proposal is to study the impact of strategic human resources practices on the organization performance through a case study methodology, supported by longitudinal data. Namely, the project aims to achieve a deeper understanding of the variables that affect the process stream during strategy implementation. How the HR practices impact on people? And why human resources are the most valuable asset? These core premises are in line with the most recent economic concerns about people productivity, employment policies and labor flexibility.

Artificial Intelligence and Inequality in the Middle East

2020 ◽  
pp. 624-649 ◽  
Author(s):  
Nagla Rizk
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Young Population ◽  
Mena Region ◽  
Poor Countries ◽  
Current State ◽  
Resource Poor ◽  
Youth Entrepreneurship ◽  
The Arab Spring ◽  
The Impact

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.

Business strategy, performance appraisal and organizational results

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alberto Bayo-Moriones ◽  
Jose Enrique Galdon-Sanchez ◽  
Sara Martinez-de-Morentin
Keyword(s):  
Firm Performance ◽  
Human Resources ◽  
Performance Appraisal ◽  
Competitive Strategy ◽  
Management Practices ◽  
Robust Regression ◽  
Innovation Strategy ◽  
Content Type ◽  
The Impact ◽  
Developmental Performance

PurposeThe purpose of this study is to analyze how the design of performance appraisal is influenced by the competitive strategy of the firm. Then, this paper examines if the alignment between appraisal and strategy impacts firm performance.Design/methodology/approachThe study sample includes 258 Spanish firms in the manufacturing and services sectors. This information was gathered through questionnaires addressed to the CEO and the senior human resources manager. Several econometric models are estimated, using robust regression analysis and including a set of relevant control variables.FindingsA positive relationship is found between an innovation strategy and developmental performance appraisal. A cost strategy has a negative impact on the adoption of developmental performance appraisal. The findings also confirm that firms with a quality strategy and developmental appraisal have higher performance. In addition, firms adopting an innovation strategy and administrative appraisal enjoy higher return of equity.Research limitations/implicationsFuture research should analyze the dynamics of the relationships between appraisal, strategy and performance to rule out the flaws of cross-sectional data. Another potential extension is the analysis of the interactions of the design of other human resources management practices with both competitive strategy and firm performance.Practical implicationsFirms can improve performance by aligning performance appraisal design with strategy. Those with an innovation strategy should choose administrative appraisal, and those competing on quality should focus on developmental appraisal.Originality/valueThis paper compares the theoretical recommendations on performance appraisal for different competitive strategies, what firms actually do, and the impact that the alignment between appraisal and strategy has on firm performance.

The Impact of Cloud Computing on Organizational Performance

2021 ◽  
Vol 11 (4) ◽  
pp. 136-151
Author(s):  
Thura Al-Azzawi ◽  
Tugberk Kaya
Keyword(s):  
Cloud Computing ◽  
Human Resources ◽  
Organizational Performance ◽  
Business Performance ◽  
Direct Relation ◽  
Organizational Agility ◽  
Cloud Computing Adoption ◽  
The Cost ◽  
The Impact ◽  
The Relationship

The use of cloud computing has remarkable advantages in business performance. It is related especially in the portion of the organizational environment, such as organizational culture and organizational agility. Organizational agility provides an easier process to search and retrieve knowledge and allow the businesses to utilize and apply this knowledge to get high-quality services. Agility and culture factors can help organizations to enhance their cloud computing adoption. The achievement of any organization is dependent upon human resources. With human resources, the organization can develop its employees by sharing knowledge, skill, and experience of personnel. Expert cloud has a significant impact on and direct relation with human resources as it facilitates the communication among human resources better, more efficiently, and reduces the cost of the service. In this paper, the authors discuss the relationship between expert cloud and human resources to enhance the organizational performance through the assistance of organizational agility and culture.

In search of virtuous learning circles: absorptive capacity and its antecedents in the education sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Regina Lenart-Gansiniec ◽  
Wojciech Czakon ◽  
Massimiliano Matteo Pellegrini
Keyword(s):  
Organizational Learning ◽  
Prior Knowledge ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Knowledge Flows ◽  
Measurement Scale ◽  
Structured Interviews ◽  
Measurement Scales ◽  
Content Type ◽  
The Impact

Purpose This study aims to identify context-specific antecedents to schools’ absorptive capacity (AC) and to show how those can enact “a virtuous learning circle.” Design/methodology/approach The study uses a mixed method: an exploration based on semi-structured interviews with educational experts; the development of a measurement scale and a partial least squares structural equation modelling to test the impact of the antecedents. Findings The results yielded four empirically-grounded antecedents and their measurement scales, namely, prior knowledge, employees’ skills, educational projects and interactions with the environment (Studies one and two). All antecedents are significantly and positively related to AC processes (study three). Using the organizational learning theory perspective, the results have been interpreted as an AC “virtuous learning circle.” Practical implications With increasing pressures to adapt, a case of which was the COVID-19 pandemic, schools can greatly benefit from absorbing knowledge flows. This suggests the construction a favourable environment for AC. To this end, the individual (employees’ prior knowledge and skills), organizational (educational projects) and institutional level of managerial action (interactions with the environment) can be effective when create a recursive organizational learning circle. In addition, this study offers an expert-validated measurement scale for self-assessment of a school’s specific contingencies, and thus, for planning of punctual interventions to develop AC. Originality/value This study advances the existing body of knowledge management in the educational context by rigorously identifying and validating a scale for measuring the antecedents of AC and developing an interpretive approach to the AC “virtuous circle.”

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