2014, vol. 7, núm. 1http://hdl.handle.net/2099/144802024-03-28T13:55:45Z2024-03-28T13:55:45ZRole stress and work engagement as antecedents of job satisfaction in Spanish workersOrgambídez-Ramos, AlejandroBorrego-Alés, YolandaMendoza-Sierra, Isabelhttp://hdl.handle.net/2099/145302020-07-22T21:59:43Z2014-04-23T13:28:57ZRole stress and work engagement as antecedents of job satisfaction in Spanish workers
Orgambídez-Ramos, Alejandro; Borrego-Alés, Yolanda; Mendoza-Sierra, Isabel
Purpose: According to the Job Demands-Resources (JDR) model, engagement and job satisfaction may be produce by two types of working conditions: job demands (i.e. role stress) and job resources (i.e. self-efficacy). This study examines the role of role stress and work engagement as antecedents of job satisfaction in a sample of Spanish workers.
Design/methodology/approach: This study comprised a sample of 435 Spanish workers. A cross sectional study was used to examine the relationship between role stress, work engagement and job satisfaction. Data were gathered based on personal administered questionnaires.
Findings and Originality/value: Hierarchical multiple regression models have revealed that job satisfaction was significantly predicted by role stress and work engagement. Results support JDR model by showing that positive outcomes, such as job satisfaction can be predicted by motivational process and job demands.
Research limitations/implications: The cross-sectional design cannot evidence of causal relationships. This study relies on self-reports, which might increase the risk of common method variance.
Practical implications: On a practical level, the JDR model provides a framework for understanding motivating workplaces and engaged and satisfied employees.
Originality/value: The JDR model could be useful in designing strategies for which engaged employees may be advantageous to improving the quality of services, while at the same time increasing employees’ job satisfaction and well-being.
2014-04-23T13:28:57ZOrgambídez-Ramos, AlejandroBorrego-Alés, YolandaMendoza-Sierra, IsabelPurpose: According to the Job Demands-Resources (JDR) model, engagement and job satisfaction may be produce by two types of working conditions: job demands (i.e. role stress) and job resources (i.e. self-efficacy). This study examines the role of role stress and work engagement as antecedents of job satisfaction in a sample of Spanish workers.
Design/methodology/approach: This study comprised a sample of 435 Spanish workers. A cross sectional study was used to examine the relationship between role stress, work engagement and job satisfaction. Data were gathered based on personal administered questionnaires.
Findings and Originality/value: Hierarchical multiple regression models have revealed that job satisfaction was significantly predicted by role stress and work engagement. Results support JDR model by showing that positive outcomes, such as job satisfaction can be predicted by motivational process and job demands.
Research limitations/implications: The cross-sectional design cannot evidence of causal relationships. This study relies on self-reports, which might increase the risk of common method variance.
Practical implications: On a practical level, the JDR model provides a framework for understanding motivating workplaces and engaged and satisfied employees.
Originality/value: The JDR model could be useful in designing strategies for which engaged employees may be advantageous to improving the quality of services, while at the same time increasing employees’ job satisfaction and well-being.Business factors related to manufacturing firms' performanceVranakis, StergiosChatzoglou, Prodromoshttp://hdl.handle.net/2099/145292020-07-22T21:59:42Z2014-04-23T11:25:46ZBusiness factors related to manufacturing firms' performance
Vranakis, Stergios; Chatzoglou, Prodromos
Purpose: The main goal is to understand the way many factors affect the investment decision making process and business performance.
Design/methodology/approach: This study proposes a new conceptual framework for examining the reasons that manufacturing firms decide to invest on the acquisition of new machinery and equipment in order to improve their infrastructure. It incorporates various factors related to the internal business environment (quality management, investment decisions etc.)
Findings and Originality/value: A new conceptual framework, establishing the relations between many factors, has been developed, allowing the determinants of adoption of many implications to be discussed and to relate them to the peculiarities of the Greek manufacturing industry.
Originality/value: This study presents an overview of the impact of machinery and equipment investment on firm’s performance, giving grasp for further research of the inter-organizational relationships that exist between them.
2014-04-23T11:25:46ZVranakis, StergiosChatzoglou, ProdromosPurpose: The main goal is to understand the way many factors affect the investment decision making process and business performance.
Design/methodology/approach: This study proposes a new conceptual framework for examining the reasons that manufacturing firms decide to invest on the acquisition of new machinery and equipment in order to improve their infrastructure. It incorporates various factors related to the internal business environment (quality management, investment decisions etc.)
Findings and Originality/value: A new conceptual framework, establishing the relations between many factors, has been developed, allowing the determinants of adoption of many implications to be discussed and to relate them to the peculiarities of the Greek manufacturing industry.
Originality/value: This study presents an overview of the impact of machinery and equipment investment on firm’s performance, giving grasp for further research of the inter-organizational relationships that exist between them.An LCA study of an electricity coal supply chainWang, ChaoMu, Donghttp://hdl.handle.net/2099/145282020-07-22T21:59:41Z2014-04-22T12:05:07ZAn LCA study of an electricity coal supply chain
Wang, Chao; Mu, Dong
Purpose: The aim of this paper is to provide methods to find the emission source and estimate the amount of waste gas emissions in the electricity coal supply chain, establish the model of the environmental impact (burden) in the electricity coal supply chain, detect the critical factor which causes significant environmental impact, and then identify the key control direction and reduce amount of environmental pollution in the electricity coal supply chain.
Design/methodology/approach: In this context, life cycle inventory and life cycle assessment of China’s electricity coal were established in three difference stages: coal mining, coal transportation, and coal burning. Then the outcomes were analyzed with the aim to reduce waste gases emissions’ environmental impact in the electricity coal supply chain from the perspective of sensitivity analysis.
Findings: The results and conclusion are as follow: (1) In terms of total waste gas emissions in electricity coal supply chain, CO2 is emitted in the greatest quantity, accounting for 98-99 wt% of the total waste gas emissions. The vast majority of the CO2, greater than 93%, is emitted from the power plant when the coal is combusted. (2) Other than CO2, the main waste gas is CH4, SO2 and so on. CH4 is mainly emitted from Coal Bed Methane (CBM), so the option is to consider capturing some of the CH4 from underground mines for an alternative use. SO2 is mainly emitted from power plant when the coal is combusted. (3) The environmental burden of coal burning subsystem is greatest, followed by the coal mining subsystem, and finally the coal transportation subsystem. Improving the coal-burning efficiency of coal-fired power plant in electricity coal supply chain is the most effective way to reduce the environmental impact of waste gas emissions. (4) Of the three subsystems examined (coal mining, coal transportation, and coal burning), transportation requires the fewest resources and has the lowest waste gas emissions. However, the energy consumption for this subsystem is significant (excluding the mine mouth case), and transportation distance is found to have a substantial effect on the oil consumption and non-coal energy consumption. (5) In electricity coal supply chain, the biggest environmental impact of waste gas emissions is GWP, followed by EP, AP, POCP and ODP, and regional impact is greater than the global impact.
Practical implications: The model and methodology established in this paper could be used for environmental impact assessment of waste gas emissions in electricity coal supply chain and sensitivity analysis in China, and it could supply reference and example for similar researches. The data information on life cycle inventory, impact assessment and sensitivity analysis could supply theory and data reference for waste gas emissions control in electricity coal supply chain.
Originality/value: To the best of our knowledge, this is the first time to study the environmental influence of electricity coal supply chain by employing a LCA approach from life cycle of electricity coal
2014-04-22T12:05:07ZWang, ChaoMu, DongPurpose: The aim of this paper is to provide methods to find the emission source and estimate the amount of waste gas emissions in the electricity coal supply chain, establish the model of the environmental impact (burden) in the electricity coal supply chain, detect the critical factor which causes significant environmental impact, and then identify the key control direction and reduce amount of environmental pollution in the electricity coal supply chain.
Design/methodology/approach: In this context, life cycle inventory and life cycle assessment of China’s electricity coal were established in three difference stages: coal mining, coal transportation, and coal burning. Then the outcomes were analyzed with the aim to reduce waste gases emissions’ environmental impact in the electricity coal supply chain from the perspective of sensitivity analysis.
Findings: The results and conclusion are as follow: (1) In terms of total waste gas emissions in electricity coal supply chain, CO2 is emitted in the greatest quantity, accounting for 98-99 wt% of the total waste gas emissions. The vast majority of the CO2, greater than 93%, is emitted from the power plant when the coal is combusted. (2) Other than CO2, the main waste gas is CH4, SO2 and so on. CH4 is mainly emitted from Coal Bed Methane (CBM), so the option is to consider capturing some of the CH4 from underground mines for an alternative use. SO2 is mainly emitted from power plant when the coal is combusted. (3) The environmental burden of coal burning subsystem is greatest, followed by the coal mining subsystem, and finally the coal transportation subsystem. Improving the coal-burning efficiency of coal-fired power plant in electricity coal supply chain is the most effective way to reduce the environmental impact of waste gas emissions. (4) Of the three subsystems examined (coal mining, coal transportation, and coal burning), transportation requires the fewest resources and has the lowest waste gas emissions. However, the energy consumption for this subsystem is significant (excluding the mine mouth case), and transportation distance is found to have a substantial effect on the oil consumption and non-coal energy consumption. (5) In electricity coal supply chain, the biggest environmental impact of waste gas emissions is GWP, followed by EP, AP, POCP and ODP, and regional impact is greater than the global impact.
Practical implications: The model and methodology established in this paper could be used for environmental impact assessment of waste gas emissions in electricity coal supply chain and sensitivity analysis in China, and it could supply reference and example for similar researches. The data information on life cycle inventory, impact assessment and sensitivity analysis could supply theory and data reference for waste gas emissions control in electricity coal supply chain.
Originality/value: To the best of our knowledge, this is the first time to study the environmental influence of electricity coal supply chain by employing a LCA approach from life cycle of electricity coalThe effect of management team characteristics on performance and style extremity of mutual fund portfoliosQiong, LiuYang, KuanZhou, Yinggaohttp://hdl.handle.net/2099/145272020-07-22T21:59:42Z2014-04-22T11:48:58ZThe effect of management team characteristics on performance and style extremity of mutual fund portfolios
Qiong, Liu; Yang, Kuan; Zhou, Yinggao
Purpose: Along with mutual funds’ scale and quantity expanding for our country, it is common for fund management companies hiring new managers or the original fund managers mobilizing from one to another. The high liquidity of fund managers makes different managers regroup to manage the funds that belong to the same fund management company in each fund year. The characteristics of these different management team will influence the fund performance, and also affect the earnings of the fund management company and portfolio investors. The purpose of this paper is as follows. First, evaluating the effect of management team characteristics on portfolio characteristics: risk, performance, and extremity. Second, testing the hypothesis that the ranking of mid-year performance have effect on investment style extremity and research what relationship exists between this phenomenon and management team characteristics in depth.
Design/methodology/approach: On the analysis of the relationships between the management team characteristics and portfolio characteristics, a series of OLS regressions is run where the time series regression model (the factor model) and cross-sectional regression are included based on using the STATA, EVIEWS and MATLAB. The validity and practicability of the model will be verified in the paper. All of the above are aimed at achieving portfolio optimization and realizing the maximization of the interests of fund management companies and investors.
Findings: The main findings are as follows. Teams with more doctors or MBA (CPA and CFA) hold more risky portfolios, while teams with long team tenure hold less. More members and large gender diversity have negative effect on performance, and the opposite is age diversity. Teams with more members and long tenure tend to hold less extreme style decisions, but age diversity is related to more. Besides, tournament hypothesis does exist in China investment funds industry especially when the economy is in a downward phase, and fund managers are more likely to raise the risk of portfolio when their term is coming to an end.
Practical implications: These findings have important implications for fund management companies as they try to form a highly efficient management team as well as for individual investors’ investment allocation decisions.
Originality/value: This paper propose a new perspective to evaluate the relationship between the management team characteristics and portfolio characteristics, which focus on both sides investors rather than a single fund
2014-04-22T11:48:58ZQiong, LiuYang, KuanZhou, YinggaoPurpose: Along with mutual funds’ scale and quantity expanding for our country, it is common for fund management companies hiring new managers or the original fund managers mobilizing from one to another. The high liquidity of fund managers makes different managers regroup to manage the funds that belong to the same fund management company in each fund year. The characteristics of these different management team will influence the fund performance, and also affect the earnings of the fund management company and portfolio investors. The purpose of this paper is as follows. First, evaluating the effect of management team characteristics on portfolio characteristics: risk, performance, and extremity. Second, testing the hypothesis that the ranking of mid-year performance have effect on investment style extremity and research what relationship exists between this phenomenon and management team characteristics in depth.
Design/methodology/approach: On the analysis of the relationships between the management team characteristics and portfolio characteristics, a series of OLS regressions is run where the time series regression model (the factor model) and cross-sectional regression are included based on using the STATA, EVIEWS and MATLAB. The validity and practicability of the model will be verified in the paper. All of the above are aimed at achieving portfolio optimization and realizing the maximization of the interests of fund management companies and investors.
Findings: The main findings are as follows. Teams with more doctors or MBA (CPA and CFA) hold more risky portfolios, while teams with long team tenure hold less. More members and large gender diversity have negative effect on performance, and the opposite is age diversity. Teams with more members and long tenure tend to hold less extreme style decisions, but age diversity is related to more. Besides, tournament hypothesis does exist in China investment funds industry especially when the economy is in a downward phase, and fund managers are more likely to raise the risk of portfolio when their term is coming to an end.
Practical implications: These findings have important implications for fund management companies as they try to form a highly efficient management team as well as for individual investors’ investment allocation decisions.
Originality/value: This paper propose a new perspective to evaluate the relationship between the management team characteristics and portfolio characteristics, which focus on both sides investors rather than a single fundSupplier selection in manufacturing innovation chain-oriented public procurement based on improved PSO methodXu, XinDing, Yunlonghttp://hdl.handle.net/2099/145112020-07-22T21:59:44Z2014-04-11T12:07:03ZSupplier selection in manufacturing innovation chain-oriented public procurement based on improved PSO method
Xu, Xin; Ding, Yunlong
Purpose: At the dynamic innovation market, it is very difficult for an enterprise to accomplish innovation individually; technology innovation is shifting towards collaborative R&D chain mode. Thus, supplier selection based on individually innovation efficiency of enterprise is inapplicable to construct collaborative R&D innovation chain. This study is seeking to address how to select R&D innovation chain supplier in manufacturing industry.
Design/methodology/approach: Firstly, Delphi method and AHP method are applied to establish an index system evaluating the suppliers of innovation chain, and then each index is weighted by experts with AHP method. Thirdly, optimized PSO algorithm is put forwarded based on the optimal efficiency of innovation chain to discriminate ideal suppliers meeting realistic conditions. Fourthly, innovation chain construction at generator manufacturing industry was taken as empirical case study to testify the improved PSO model.
Findings: The innovation chain is comprised up by several enterprises, innovation performance of a single enterprise is not always positively correlated to that of one innovation chain, and the proposed model is capable to find out the best combination to construct an innovation chain.
Research limitations/implications: The relations between these constructs with other variables of interest to the academicals fields were analyzed by a precise and credible data with a clear and concise description of the supply chain integration measurement scales.
Practical implications: providing scales that are valid as a diagnostic tool for best practices, as well as providing a benchmark with which to compare the score for each individual plant against a chain of industrial innovation from machinery.
Originality/value: Innovation chain integration is an important factor in explaining the innovation performance of companies. The vast range of results obtained is due to the fact that there is no exactness to the group of scales used. An analysis of the measurement models nor clear benchmarks as to the variety of the scales used has not been published before.
2014-04-11T12:07:03ZXu, XinDing, YunlongPurpose: At the dynamic innovation market, it is very difficult for an enterprise to accomplish innovation individually; technology innovation is shifting towards collaborative R&D chain mode. Thus, supplier selection based on individually innovation efficiency of enterprise is inapplicable to construct collaborative R&D innovation chain. This study is seeking to address how to select R&D innovation chain supplier in manufacturing industry.
Design/methodology/approach: Firstly, Delphi method and AHP method are applied to establish an index system evaluating the suppliers of innovation chain, and then each index is weighted by experts with AHP method. Thirdly, optimized PSO algorithm is put forwarded based on the optimal efficiency of innovation chain to discriminate ideal suppliers meeting realistic conditions. Fourthly, innovation chain construction at generator manufacturing industry was taken as empirical case study to testify the improved PSO model.
Findings: The innovation chain is comprised up by several enterprises, innovation performance of a single enterprise is not always positively correlated to that of one innovation chain, and the proposed model is capable to find out the best combination to construct an innovation chain.
Research limitations/implications: The relations between these constructs with other variables of interest to the academicals fields were analyzed by a precise and credible data with a clear and concise description of the supply chain integration measurement scales.
Practical implications: providing scales that are valid as a diagnostic tool for best practices, as well as providing a benchmark with which to compare the score for each individual plant against a chain of industrial innovation from machinery.
Originality/value: Innovation chain integration is an important factor in explaining the innovation performance of companies. The vast range of results obtained is due to the fact that there is no exactness to the group of scales used. An analysis of the measurement models nor clear benchmarks as to the variety of the scales used has not been published before.Using Modified Similarity Multiple criteria Decision Making technique to rank countries in terms of Human Development IndexSafari, HosseinEbrahimi, Elhamhttp://hdl.handle.net/2099/145102020-07-22T21:59:45Z2014-04-11T11:36:54ZUsing Modified Similarity Multiple criteria Decision Making technique to rank countries in terms of Human Development Index
Safari, Hossein; Ebrahimi, Elham
Purpose:Human Development Index (HDI) reported annually by the United Nations Development Program (UNDP) is apopular measure of human well-being. The purposeof this study is to propose a Multiple Criteria Decision Making (MCDM) technique named Modified Similarity technique for ranking countries based on multi criteria HDI.
Design/methodology/approach:In Human Development Reports (HDRs), the HDI for each country isfirst calculated from the average of the health, education and income dimension indices with equally allocatedweight. Then the countries are ranked based on this index. Regarding the criticisms the method ofcalculating the HDI has received, this study usesModified Similarity Multi Criteria Decision Making methodfor ranking countries based on multi criteriaHDI, as an alternative method to the average method, which is being used in annually reported HDRs.
Findings: We used the four HD indices mentioned in the 2010 and 2011 HDRs to rank 187 countries which have been investigated in the 2011 HDR. The results of ranking countries by the Modified Similarity technique were somewhat different from the 2011 HDR ranking.
Originality/value:Some of the HDI criticisms are related to the method of calculating the index in the form of computing theaverage of the three health, education and income dimension indices with equally allocated weight. in an attempt to eliminatesome of the weaknesses associated with the index, this study uses Similarity technique, as an alternative to the average method of ranking countries in terms of humandevelopment. In addition due to some discrepancies associated with the Similarity technique introduced by Deng (2007), a Modified Similarity technique is discussed.
2014-04-11T11:36:54ZSafari, HosseinEbrahimi, ElhamPurpose:Human Development Index (HDI) reported annually by the United Nations Development Program (UNDP) is apopular measure of human well-being. The purposeof this study is to propose a Multiple Criteria Decision Making (MCDM) technique named Modified Similarity technique for ranking countries based on multi criteria HDI.
Design/methodology/approach:In Human Development Reports (HDRs), the HDI for each country isfirst calculated from the average of the health, education and income dimension indices with equally allocatedweight. Then the countries are ranked based on this index. Regarding the criticisms the method ofcalculating the HDI has received, this study usesModified Similarity Multi Criteria Decision Making methodfor ranking countries based on multi criteriaHDI, as an alternative method to the average method, which is being used in annually reported HDRs.
Findings: We used the four HD indices mentioned in the 2010 and 2011 HDRs to rank 187 countries which have been investigated in the 2011 HDR. The results of ranking countries by the Modified Similarity technique were somewhat different from the 2011 HDR ranking.
Originality/value:Some of the HDI criticisms are related to the method of calculating the index in the form of computing theaverage of the three health, education and income dimension indices with equally allocated weight. in an attempt to eliminatesome of the weaknesses associated with the index, this study uses Similarity technique, as an alternative to the average method of ranking countries in terms of humandevelopment. In addition due to some discrepancies associated with the Similarity technique introduced by Deng (2007), a Modified Similarity technique is discussed.Optimization of a dynamic supply portfolio considering risks and discount’s constraintsRabbani, MasoudKhalili, S.M.Janani, H.Shiripour, M.http://hdl.handle.net/2099/145092020-07-22T21:59:44Z2014-04-11T11:01:30ZOptimization of a dynamic supply portfolio considering risks and discount’s constraints
Rabbani, Masoud; Khalili, S.M.; Janani, H.; Shiripour, M.
Purpose: Nowadays finding reliable suppliers in the global supply chains has become so important for success, because reliable suppliers would lead to a reliable supply and besides that orders of customer are met effectively . Yet, there is little empirical evidence to support this view, hence the purpose of this paper is to fill this need by considering risk in order to find the optimum supply portfolio.
Design/methodology/approach: This paper proposes a multi objective model for the supplier selection portfolio problem that uses conditional value at risk (CVaR) criteria to control the risks of delayed, disrupted and defected supplies via scenario analysis. Also we consider discount’s constraints which are common assumptions in supplier selection problems. The proposed approach is capable of determining the optimal supply portfolio by calculating value-at-risk and minimizing conditional value-at-risk. In this study the Reservation Level driven Tchebycheff Procedure (RLTP) which is one of the reference point methods, is used to solve small size of our model through coding in GAMS. As our model is NP-hard; a meta-heuristic approach, Non-dominated Sorting Genetic Algorithm (NSGA) which is one of the most efficient methods for optimizing multi objective models, is applied to solve large scales of our model.
Findings and Originality/value: In order to find a dynamic supply portfolio, we developed a Mixed Integer Linear Programming (MILP) model which contains two objectives. One objective minimizes the cost and the other minimizes the risks of delayed, disrupted and defected supplies. CVaR is used as the risk controlling method which emphases on low-probability, high-consequence events. Discount option as a common offer from suppliers is also implanted in the proposed model. Our findings show that the proposed model can help in optimization of a dynamic supplier selection portfolio with controlling the corresponding risks for large scales of real word problems.
Practical implications: To approve the capability of our model various numerical examples are made and non-dominated solutions are generated. Sensitive analysis is made for determination of the most important factors. The results shows that how a dynamic supply portfolio would disperse the allocation of orders among the suppliers combined with the allocation of orders among the planning periods, in order to hedge against the risks of delayed, disrupted and defected supplies.
Originality/value: This paper provides a novel multi objective model for supplier selection portfolio problem that is capable of controlling delayed, disrupted and defected supplies via scenario analysis. Also discounts, as an option offered from suppliers, are embedded in the model. Due to the large size of the real problems in the field of supplier selection portfolio a meta-heuristic method, NSGA II, is presented for solving the multi objective model. The chromosome represented for the proposed solving methodology is unique and is another contribution of this paper which showed to be adaptive with the essence of supplier selection portfolio problem
2014-04-11T11:01:30ZRabbani, MasoudKhalili, S.M.Janani, H.Shiripour, M.Purpose: Nowadays finding reliable suppliers in the global supply chains has become so important for success, because reliable suppliers would lead to a reliable supply and besides that orders of customer are met effectively . Yet, there is little empirical evidence to support this view, hence the purpose of this paper is to fill this need by considering risk in order to find the optimum supply portfolio.
Design/methodology/approach: This paper proposes a multi objective model for the supplier selection portfolio problem that uses conditional value at risk (CVaR) criteria to control the risks of delayed, disrupted and defected supplies via scenario analysis. Also we consider discount’s constraints which are common assumptions in supplier selection problems. The proposed approach is capable of determining the optimal supply portfolio by calculating value-at-risk and minimizing conditional value-at-risk. In this study the Reservation Level driven Tchebycheff Procedure (RLTP) which is one of the reference point methods, is used to solve small size of our model through coding in GAMS. As our model is NP-hard; a meta-heuristic approach, Non-dominated Sorting Genetic Algorithm (NSGA) which is one of the most efficient methods for optimizing multi objective models, is applied to solve large scales of our model.
Findings and Originality/value: In order to find a dynamic supply portfolio, we developed a Mixed Integer Linear Programming (MILP) model which contains two objectives. One objective minimizes the cost and the other minimizes the risks of delayed, disrupted and defected supplies. CVaR is used as the risk controlling method which emphases on low-probability, high-consequence events. Discount option as a common offer from suppliers is also implanted in the proposed model. Our findings show that the proposed model can help in optimization of a dynamic supplier selection portfolio with controlling the corresponding risks for large scales of real word problems.
Practical implications: To approve the capability of our model various numerical examples are made and non-dominated solutions are generated. Sensitive analysis is made for determination of the most important factors. The results shows that how a dynamic supply portfolio would disperse the allocation of orders among the suppliers combined with the allocation of orders among the planning periods, in order to hedge against the risks of delayed, disrupted and defected supplies.
Originality/value: This paper provides a novel multi objective model for supplier selection portfolio problem that is capable of controlling delayed, disrupted and defected supplies via scenario analysis. Also discounts, as an option offered from suppliers, are embedded in the model. Due to the large size of the real problems in the field of supplier selection portfolio a meta-heuristic method, NSGA II, is presented for solving the multi objective model. The chromosome represented for the proposed solving methodology is unique and is another contribution of this paper which showed to be adaptive with the essence of supplier selection portfolio problemIntegrated management systems and workflow-based electronic document management: an empirical studPho, Hang ThuTambo, Torbenhttp://hdl.handle.net/2099/145002020-07-22T21:59:44Z2014-04-10T12:32:49ZIntegrated management systems and workflow-based electronic document management: an empirical stud
Pho, Hang Thu; Tambo, Torben
Purpose: Many global organizations have aligned their strategy and operation via the ISO-based framework of integrated management system (IMS) that allows them to merge quality, environment, health and safety management systems. In such context, having a robust electronic document management system (EDMS) is essential, especially at global enterprises where a large amount of documents generated by processes flows through different work cultures. However, there is no "one-size-fits-all" design for EDMS because it depends on organizations' needs, size and resource allocation. This article discusses the interrelation between EDMS and IMS in order to suggest a best practice.
Design/methodology/approach: This article methodologically based upon a qualitative, interpretivistic, longitudinal empirical study in a wind turbine factory.
Findings and Originality/value: IMS improvement and effectiveness has been overlooking EDMS as a key factor in establishing appropriate technological support of the IMS processes. Rightful application of EDMS can further contribute to organizational learning, precision of documentation and cross-organisational collaboration.
Research limitations/implications: Theorising on IMS needs a stronger perspective of the technological limitations and potentials of basing IMS on EDMS.
Practical implications: IMS are complex systems involving a large number of administrative functions. EDMS provides a formal representation with automation potentials both heightening and securing document trustworthiness.
Social implications: IMS has a tendency to stay with professionals, e.g. line managers and QA/QC/QMS professionals. The EDMS line of discussion suggests a broader inclusion.
Originality/value: Researching IMS as a technological implementation is giving a better platform of aligning the IMS with other business processes and is bringing IMS closer to the operational activities within the enterprise.
2014-04-10T12:32:49ZPho, Hang ThuTambo, TorbenPurpose: Many global organizations have aligned their strategy and operation via the ISO-based framework of integrated management system (IMS) that allows them to merge quality, environment, health and safety management systems. In such context, having a robust electronic document management system (EDMS) is essential, especially at global enterprises where a large amount of documents generated by processes flows through different work cultures. However, there is no "one-size-fits-all" design for EDMS because it depends on organizations' needs, size and resource allocation. This article discusses the interrelation between EDMS and IMS in order to suggest a best practice.
Design/methodology/approach: This article methodologically based upon a qualitative, interpretivistic, longitudinal empirical study in a wind turbine factory.
Findings and Originality/value: IMS improvement and effectiveness has been overlooking EDMS as a key factor in establishing appropriate technological support of the IMS processes. Rightful application of EDMS can further contribute to organizational learning, precision of documentation and cross-organisational collaboration.
Research limitations/implications: Theorising on IMS needs a stronger perspective of the technological limitations and potentials of basing IMS on EDMS.
Practical implications: IMS are complex systems involving a large number of administrative functions. EDMS provides a formal representation with automation potentials both heightening and securing document trustworthiness.
Social implications: IMS has a tendency to stay with professionals, e.g. line managers and QA/QC/QMS professionals. The EDMS line of discussion suggests a broader inclusion.
Originality/value: Researching IMS as a technological implementation is giving a better platform of aligning the IMS with other business processes and is bringing IMS closer to the operational activities within the enterprise.Integrating developing country manufacturing industries into global supply chainGeorgise, Fasika BeteKlause-Dieter, ThobenSeifert, Marcushttp://hdl.handle.net/2099/144992020-07-22T21:59:44Z2014-04-10T12:11:01ZIntegrating developing country manufacturing industries into global supply chain
Georgise, Fasika Bete; Klause-Dieter, Thoben; Seifert, Marcus
Purpose: Due to globalization of manufacturing activities, the arena of competition and competitiveness advantage is moving from firms towards supply chains and networks. With the recent advancement of information and communication technologies this participation are becoming as common business practice in developed countries firms. Companies were more integrated into the world market for the global nature of the sourcing, manufacturing and distribution. These changes create both challenges and opportunities for the manufacturing industries in developing countries. The objective of this paper is to examine the level of inter-organizational and intra-organizational supply chain integration practices in developing country, Ethiopia.
Design/methodology/approach: An industrial questionnaires survey was used to collect the current practices of the manufacturing industries in Ethiopia as an example of the developing countries. Descriptive statistics is primarily used for the analysis.
Findings: Results show a low level of supply chain relationship both in intra and inter organizational supply chain integration level among members. Accordingly, such issues require much attention to facilitate a greater integration within the supply chains in the Ethiopian manufacturing industries.
Research limitations/implications: The paper focuses on examining the practices of Ethiopian manufacturing industries empirical data. The interpretation of results should be taken with prudence.
Originality/Value: The manufacturing industry in developing countries (MIDC) has been a part of the global supply chains for long time as a supplier of raw material and manufacturer of primary products. Currently, the MIDC is trying to access the different markets segment of the world even with new products starting from their local market to the complex and dynamic international market. Nevertheless, their supply chains are inefficient and hence, their competitiveness level far from the norm expected. The supply chain integration will bring positive impacts and benefits for manufacturers in developing countries if it adopted properly.
2014-04-10T12:11:01ZGeorgise, Fasika BeteKlause-Dieter, ThobenSeifert, MarcusPurpose: Due to globalization of manufacturing activities, the arena of competition and competitiveness advantage is moving from firms towards supply chains and networks. With the recent advancement of information and communication technologies this participation are becoming as common business practice in developed countries firms. Companies were more integrated into the world market for the global nature of the sourcing, manufacturing and distribution. These changes create both challenges and opportunities for the manufacturing industries in developing countries. The objective of this paper is to examine the level of inter-organizational and intra-organizational supply chain integration practices in developing country, Ethiopia.
Design/methodology/approach: An industrial questionnaires survey was used to collect the current practices of the manufacturing industries in Ethiopia as an example of the developing countries. Descriptive statistics is primarily used for the analysis.
Findings: Results show a low level of supply chain relationship both in intra and inter organizational supply chain integration level among members. Accordingly, such issues require much attention to facilitate a greater integration within the supply chains in the Ethiopian manufacturing industries.
Research limitations/implications: The paper focuses on examining the practices of Ethiopian manufacturing industries empirical data. The interpretation of results should be taken with prudence.
Originality/Value: The manufacturing industry in developing countries (MIDC) has been a part of the global supply chains for long time as a supplier of raw material and manufacturer of primary products. Currently, the MIDC is trying to access the different markets segment of the world even with new products starting from their local market to the complex and dynamic international market. Nevertheless, their supply chains are inefficient and hence, their competitiveness level far from the norm expected. The supply chain integration will bring positive impacts and benefits for manufacturers in developing countries if it adopted properly.A methodology to measure the degre of managerial innovationAyhan, Mustafa BatuhanOztemel, Ercanhttp://hdl.handle.net/2099/144982020-07-22T21:59:42Z2014-04-10T11:52:30ZA methodology to measure the degre of managerial innovation
Ayhan, Mustafa Batuhan; Oztemel, Ercan
Purpose: The main objective of this study is to introduce the concept of managerial innovation and to propose a quantitative methodology to measure the degree of managerial innovation capability by analyzing the evolution of the techniques used for management functions.
Design/methodology/approach: The methodology mainly focuses on the different techniques used for each management functions namely; Planning, Organizing, Leading, Controlling and Coordinating. These functions are studied and the different techniques used for them are listed. Since the techniques used for these management functions evolve in time due to technological and social changes, a methodology is required to measure the degree of managerial innovation capability. This competency is measured through an analysis performed to point out which techniques used for each of these functions.
Findings: To check the validity and applicability of this methodology, it is implemented to a manufacturing company. Depending on the results of the implementation, enhancements are suggested to the company for each function to survive in the changing managerial conditions
Research limitations/implications: The primary limitation of this study is the implementation area. Although the study is implemented in just a single manufacturing company, it is welcomed to apply the same methodology to measure the managerial innovation capabilities of other manufacturing companies. Moreover, the model is ready to be adapted to different sectors although it is mainly prepared for manufacturing sector.
Originality/value: Although innovation management is widely studied, managerial innovation is a new concept and introduced to measure the capability to challenge the changes occur in managerial functions. As a brief this methodology aims to be a pioneer in the field of managerial innovation regarding the evolution of management functions. Therefore it is expected to lead more studies to inspect the progress of change throughout the history and the future trends.
2014-04-10T11:52:30ZAyhan, Mustafa BatuhanOztemel, ErcanPurpose: The main objective of this study is to introduce the concept of managerial innovation and to propose a quantitative methodology to measure the degree of managerial innovation capability by analyzing the evolution of the techniques used for management functions.
Design/methodology/approach: The methodology mainly focuses on the different techniques used for each management functions namely; Planning, Organizing, Leading, Controlling and Coordinating. These functions are studied and the different techniques used for them are listed. Since the techniques used for these management functions evolve in time due to technological and social changes, a methodology is required to measure the degree of managerial innovation capability. This competency is measured through an analysis performed to point out which techniques used for each of these functions.
Findings: To check the validity and applicability of this methodology, it is implemented to a manufacturing company. Depending on the results of the implementation, enhancements are suggested to the company for each function to survive in the changing managerial conditions
Research limitations/implications: The primary limitation of this study is the implementation area. Although the study is implemented in just a single manufacturing company, it is welcomed to apply the same methodology to measure the managerial innovation capabilities of other manufacturing companies. Moreover, the model is ready to be adapted to different sectors although it is mainly prepared for manufacturing sector.
Originality/value: Although innovation management is widely studied, managerial innovation is a new concept and introduced to measure the capability to challenge the changes occur in managerial functions. As a brief this methodology aims to be a pioneer in the field of managerial innovation regarding the evolution of management functions. Therefore it is expected to lead more studies to inspect the progress of change throughout the history and the future trends.