(2019). Supplier Selection and Optimization of Supply Chains. International Journal of Management and Sustainability, 8(2): 98-110. DOI: 10.18488/journal.11.2019.82.98.110
Supplier selection is one of the most important components of supply chain management. The main objective of this exercise is to select best suppliers based on different criteria. Those criteria are often closely related with sustainability and are set by the decision-maker. Hence, the objective of this paper is to integrate sustainability and decision-making. The sustainability aspect of the model includes economic, environmental and social dimensions and strategic level of decision-making criteria. The methodology used in this paper is mathematical modeling and the problem is formulated as mixed integer linear programming. The integration of sustainability and supplier selection is presented on an illustrative example of a bio-fuel supply chain. The best multi-objective solution is obtained using the weighting sum method. The study indicates that the integration of several sustainability aspects and supplier selection can be useful for decision making process. The main contribution of this work is the integration of supplier selection with the sustainability of supply chains.
The main contribution of this paper is in the field of sustainable supply chain development. The methodology used was mathematical modeling (optimization). The objective was to integrate supplier selection and sustainability of supply chains.
Customer Care Service Management is Moving Forward to Achieve Sustainable Customer Retention in Every Industry. Does it play a Role to Increase Brand Retention?
Amitab Bhattacharjee , Asghar Afshar Jahanshahi , Mohammad Rashed Hasan Polas , Mohammad Imtiaz Hossain , Abdul Saboor Asheq (2019). Customer Care Service Management is Moving Forward to Achieve Sustainable Customer Retention in Every Industry. Does it play a Role to Increase Brand Retention?. International Journal of Management and Sustainability, 8(2): 88-97. DOI: 10.18488/journal.11.2019.82.88.97
To increase the sustainable brand retention level of consumer, service quality plays a key role as the first consideration in the service or manufacturing industry. Our study reveals that consumer-friendly customer-care service is the only prime factor to grab higher brand retention at a competitive level. The study findings show that individuals having experience of customer-care service has a positive relationship with the study variable (brand retention interest) at a significant level. We also found significant correlation between using a product or service and the brand retention interest of consumer. Companies operating in either service industry or manufacturing industry focus on upper-grade customer-care service but actually deliver semi-grade services to customers especially those living in developing countries. Having such a practicable technique, the service delivery process remained the same, instead of continuous flexi development except for some developed countries like Japan and Malaysia. Therefore, the consumer gets excellent experience in developed countries and poor experience in underdeveloped or developing countries and retention interest of the same brand slides down and is identified as a strategic customer service gap by this study. Although we faced some unavoidable study limitations, the study findings and recommendations would be helpful especially for managers, decisions makers, and market planners to redraw implementable strategic plans for customer-care service management systems to achieve sustainable competitive advantages in the long run.
This is the first study that covers up the existing researcher gap between the retention-choice of consumers and the actual service facilities available for consumers. By conducting this study, we have concluded that a sustainable competitive advantage could be achieved by enhancing promised and acknowledgeable service to consumers because a balanced service delivery system would increase the retention level of consumers to stick with the same brand in the long-term.
Cost Efficiency of Bioenergy Industry and its Economic Determinants in EU-28: A Tobit Model Based on DEA Efficiency Scores
Mohd Alsaleh , A.S. Abdul-Rahim (2019). Cost Efficiency of Bioenergy Industry and its Economic Determinants in EU-28: A Tobit Model Based on DEA Efficiency Scores. International Journal of Management and Sustainability, 8(2): 79-87. DOI: 10.18488/journal.11.2019.82.79.87
This study looks at how increasing efficiency drives the production of the bioenergy in the European Union (EU-28) region. The paper used the Data Envelopment Analysis (DEA) statistical approach to use the cost efficiency (CE) rate of the bio-energy industry of the EU-28 region as a dependent variable of this study in the first stage of analysis. The study’s second stage analysis used the Tobit Model to investigate the impact of economic determinants on the CE of the bioenergy industry in the EU-28 region during the period between 1990 to 2013. The results of the second stage panel regression using Tobit model for the EU-28 region during 1990-2013 shows that CE has positive and significant correlations with capital cost (lnCI) and labour cost (lnLI). The results also show that cost efficiency and real interest rate (lnRIR).have a negative and significant relationship. The study showed that gross domestic product (lnGDP) and CE have a positive and significant relationship in the time specific model, but not in the country specific model. In addition, there is significant and positive correlations between CE and both the Interaction Dummy Country factor (Dum_CP) and the Country Dummy factor (Dum). The estimation also showed insignificant correlations between CE and both the Interaction Dummy Time factor (Dum_CP) and the Time Dummy factor (Dum).
This study contributes to the existing literature in investigating the CE of the bioenergy industry in the EU-28 region. This study uses new estimation methodologies such as the Data Envelopment Analysis (DEA) and the Tobit Model to investigate the impact of economic determinants on the CE of the bioenergy industry in the EU28 region during the period between 1990 and 2013.
The Impact of Industrial Agglomeration on Carbon Emissions: Empirical Evidence from China
Ya Wen , Meng Liao (2019). The Impact of Industrial Agglomeration on Carbon Emissions: Empirical Evidence from China. International Journal of Management and Sustainability, 8(2): 67-78. DOI: 10.18488/journal.11.2019.82.67.78
Based on panel data of China from 2004 to 2016, this paper explored the spatial spillover effect in industrial agglomeration and carbon emissions by using a spatial econometric model. Our results showed that industrial agglomeration significantly increases the carbon emissions in the local region, while inhibits the carbon emissions in the neighboring areas. After considering the choice of different spatial weight matrices, the conclusion is still robust. Further tests show that, on the one hand, industrial agglomeration can increase local carbon emissions and restrain them in the neighboring regions by increasing the industrial scale. On the other hand, industrial agglomeration suppresses the carbon emissions of local and neighboring areas by influencing the intensity of energy consumption. Moreover, the emission decrease effect of industrial agglomeration on the local part through the energy intensity is stronger than that in the vicinity. We propose that the government should coordinate the impact of industrial agglomeration on pollution emissions through both scale and energy effects. Maximize the role of energy saving and emission reduction in industrial agglomeration.
This study contributes to the existing literature that greenhouse gases, such as carbon emissions, which have an important impact on global temperature rise, have the characteristics of the transboundary transfer. Developing countries can reduce carbon emissions by promoting the scale effect and energy effect of local industrial agglomeration.
Explaining Stress and Depression Level of Nurses: The Effects of Role Conflict and Role Ambiguity
Ayşe Gokcen Kapusuz (2019). Explaining Stress and Depression Level of Nurses: The Effects of Role Conflict and Role Ambiguity. International Journal of Management and Sustainability, 8(2): 61-66. DOI: 10.18488/journal.11.2019.82.61.66
Productive human resources and behaviors play a significant role in the task and performance-oriented organizations in today’s competitive, innovative, developable, and profitable business life. In this ever-changing and increasingly globalized World, people confront stress and right after depression based on their different roles, threats and events. The aim of this research is to analyze the effects of role conflict and role ambiguity of nurses upon the stress and depression with different theoretical backgrounds. In this study, the relationship among all mentioned variables was examined and analyzed based on the survey data with the participation of 141 randomly chosen nurses from the public hospital in Osmaniye, Turkey. Based on the results of hierarchical regression analysis; role ambiguity, role conflict, and depression are significantly related to job stress of nurses. Besides, there is an insignificant relationship between role conflict and depression. On the other hand, there are negative effects of role ambiguity upon the depression of nurses. This negative relationship between role ambiguity and depression increases from -0.309 to -0.321 when combined with role conflict. Role conflict and role ambiguities are two factors that cause to stress and depression in both personal and work life. The productivity of workers/employees especially in the health sector is depending on different environmental, individual, and psychological factors. Managers should consider the changing of the work environment and variability of patients besides personal needs and abilities while distributing the extra roles of nurses.
This study is one of the very few studies which have investigated quartet relationship among role conflict, role ambiguity, stress and depression in health sector under the light of Person-Organization Fit Theory and Effort-Reward Imbalance-ERI-Model.