5 research outputs found
Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method
In the past decade, global competition are forcing firms to increase their level of outsourcing for raw or semi-finished products and building long term relationship with their supply chain partners. The objective is to present a wide-ranging decision making technique for ranking supplier alternatives in view of the effect of selected criteria. A proposed method is developed aiming the usage of Fuzzy-Rasch model applying five point Likert scale for criteria weight and Grey based COmplex PRoportional ASsessment (COPRAS-G) method for evaluating and ranking the potential alternatives, as per criteria. The applicability of the induced methodology for supplier selection problem in all environments is shown through a case study in telecommunication sector. A sensitivity analysis is performed based on changing weight patterns of criteria to show the stability in ranking result of the proposed approach. Further, a comparative analysis between the ranking results of proposed method done with existing grey multi-attribute decision-making methods viz. VIKOR-G, ARAS-G and TOPSIS-G using spearman’s correlation coefficient for checking the reliability of the ranking result
Green Technologies for Production Processes
This book focuses on original research works about Green Technologies for Production Processes, including discrete production processes and process production processes, from various aspects that tackle product, process, and system issues in production. The aim is to report the state-of-the-art on relevant research topics and highlight the barriers, challenges, and opportunities we are facing. This book includes 22 research papers and involves energy-saving and waste reduction in production processes, design and manufacturing of green products, low carbon manufacturing and remanufacturing, management and policy for sustainable production, technologies of mitigating CO2 emissions, and other green technologies
Leading Towards Voice and Innovation: The Role of Psychological Contract
Background: Empirical evidence generally suggests that psychological
contract breach (PCB) leads to negative outcomes. However, some literature
argues that, occasionally, PCB leads to positive outcomes.
Aim: To empirically determine when these positive outcomes occur, focusing
on the role of psychological contract (PC) and leadership style (LS), and
outcomes such as employ voice (EV) and innovative work behaviour (IWB).
Method: A cross-sectional survey design was adopted, using reputable
questionnaires on PC, PCB, EV, IWB, and leadership styles. Correlation
analyses were used to test direct links within the model, while regression
analyses were used to test for the moderation effects.
Results: Data with acceptable psychometric properties were collected from 11
organisations (N=620). The results revealed that PCB does not lead to
substantial changes in IWB. PCB correlated positively with prohibitive EV, but did not influence promotive EV, which was a significant driver of IWB. Leadership styles were weak predictors of EV and IWB, and LS only partially moderated the PCB-EV relationship. Conclusion: PCB did not lead to positive outcomes. Neither did LS influencing the relationships between PCB and EV or IWB. Further, LS only partially influenced the relationships between variables, and not in a manner which positively influence IWB
Assuming Data Integrity and Empirical Evidence to The Contrary
Background: Not all respondents to surveys apply their minds or understand
the posed questions, and as such provide answers which lack coherence, and
this threatens the integrity of the research. Casual inspection and limited
research of the 10-item Big Five Inventory (BFI-10), included in the dataset of
the World Values Survey (WVS), suggested that random responses may be
common.
Objective: To specify the percentage of cases in the BRI-10 which include
incoherent or contradictory responses and to test the extent to which the
removal of these cases will improve the quality of the dataset.
Method: The WVS data on the BFI-10, measuring the Big Five Personality (B5P), in South Africa (N=3 531), was used. Incoherent or contradictory responses were removed. Then the cases from the cleaned-up dataset were analysed for their theoretical validity.
Results: Only 1 612 (45.7%) cases were identified as not including incoherent
or contradictory responses. The cleaned-up data did not mirror the B5P- structure, as was envisaged. The test for common method bias was negative. Conclusion: In most cases the responses were incoherent. Cleaning up the data did not improve the psychometric properties of the BFI-10. This raises concerns about the quality of the WVS data, the BFI-10, and the universality of B5P-theory. Given these results, it would be unwise to use the BFI-10 in South Africa. Researchers are alerted to do a proper assessment of the
psychometric properties of instruments before they use it, particularly in a
cross-cultural setting