This paper studies the relationship between principals’ reward power and their conflict management styles. The five conflict management styles that we use in this study are based on Thomas-Kilmann Conflict Mode Instrument and include accommodating, avoiding, collaborating, competing, and compromising styles. This study can be classified as a regression analysis and is a descriptive study. Our statistical society for this research included all principals of high schools located in the city of Birjand. The results indicated that there was a significant relationship between principal’s reward power and accommodating conflict management style. The results also revealed that there was no significant relationship between principals’ reward power and the other four conflict management styles.

This paper aims to provide proper policies for inventory under uncertain conditions by comparing different inventory policies. To review the efficiency of these algorithms it is necessary to specify the area in which each of them is applied. Therefore, each of the models has been reviewed under different forms of retailing and they are ranked in terms of their expenses. According to the high values of inventories and their impacts on the costs of the companies, the ranking of various models using the simulation annealing algorithm are presented, which indicates that the proposed model of this paper could perform better than other alternative ones. The results also indicate that the suggested algorithm could save from 4 to 29 percent on costs of inventories.

The single machine scheduling problem aims at obtaining the best sequence for a set of jobs in a manufacturing system with a single machine. In this paper, we optimize rewards in single machine scheduling in rewards-driven systems such that total reward is maximized while the constraints contains of limitation in total rewards for earliness and learning, independent of earliness and learning and etc. are satisfied. In mentioned systems as for earliness and learning the bonus is awarded to operators, we consider only rewards in mentioned systems and it will not be penalized under any circumstances. Our objective is to optimize total rewards in mentioned system by taking the rewards in the form of quadratic for both learning and earliness. The recently-developed sequential quadratic programming (SQP), is used by solve the problem. Results show that SQP had satisfactory performance in terms of optimum solutions, number of iterations, infeasibility and optimality error. Finally, a sensitivity analysis is performed on the change rate of the objective function obtained based on the change rate of the “amount of earliness for jobs (Ei parameter)”.

Unexpected occurrence like natural calamity, abruptly change in customer demands, upgradation of technologies, necessity of compatible suppliers etc. is the most challenging issues even for efficient global supply chain management. Therefore, modeling of responsive supply chain is an emerging technology for sustaining any firm/industry in future competitive environment. In this paper, an attempt has been made to not only analyze the performance of efficient supply chain management but also how to improve the performance of existing supply chain with the objective of developing a modeling of responsive supply chain management. The complexity of the model is also highlighted with the help of numerical example. This paper also explores the possibility to mathematical modeling of the responsive supply chain which will be an emerging topic for researchers and practitioners. The modeling of responsive supply chain can be employed as a competitive strategy for e-commerce, green supply chain, and compatible supplier selection problem. The another salient feature of this paper is that a distinct comparative literature review of the lean, agile, efficient, and responsive supply chain management has been presented.

In this paper, we examine and forecast the House Price Index (HPI) and mortgage market rate in terms of the description of the subprime crisis. We use a semi-parametric local polynomial Whittle estimator proposed by Shimotsu et al. (2005) [Shimotsu, K., & Phillips, P.C.B. (2005), Exact local Whittle estimation of fractional integration. The Annals of Statistics, 33(4), 1890-1933.] in a long memory parameter time series. Empirical investigation of HPI and mortgage market rate shows that these variables are more persistent when the d estimates are found on the Shimotsu method than on the one of Künsch (1987) [Künsch, H.R. (1987). Statistical aspects of self-similar processes. In Y. Prokhorov and V.V. Sazanov (eds.), Proceedings of the First World Congress of the Bernoulli Society, VNU Science Press, Utrecht, 67-74.]. The estimating forecast values are more realistic and they strongly reflect the present US economy actuality in the two series as indicated by the forecast evaluation topics.

The main objective of this paper is to identify and understand the relationship dynamics among the quality enabled factors affecting the scheduling stage of production system life cycle. For this purpose, Interpretative structural modelling (ISM) approach has been utilized for developing the relationships among the various factors of the scheduling system stage. Afterwards, MICMAC (Matriced Impacts Croises Multiplication Appliqueeaun Classement) analysis has been carried out in order to classify the factors into different categories and to disclose the direct and indirect effects of each factor on the scheduling system. It is an approach for refining the decision making in the scheduling stage of production system life cycle.

In this paper an attempt is made to analyze the components of localization strategy including attribute policy, benefits policy, application/implementation policy, consumer policy, competition policy, quality/price policy and product category policy on development of brand equity. The study uses two questionnaires, one for measuring bran equity, which is adopted from Buil et al. (2013) [Buil, I., de Chernatony, L., & Mart?nez, E. (2013). Examining the role of advertising and sales promotions in brand equity creation. Journal of Business Research, 66(1), 115-122.], and the other for measuring localization strategy designed by researchers. Cronbach alphas for brand equity and localization strategy are 0.82 and 0.78, respectively. The study is applied among consumers of products with a name of Samsung in city of Tehran, Iran. Using Pearson correlation as well as multiple regression technique, the study has determined that attribute, consumer and application/implementation policies influenced positively on brand equity.

Six Sigma is considered as a logical business strategy that attempts to identify and eliminate the defects or failures for improving the quality of product and processes. A decision on project selection in Six Sigma is always very critical; it plays a key role in successful implementation of Six Sigma. Selection of a right Six Sigma project is essentially important for an automotive company because it greatly influences the manufacturing costs. This paper discusses an approach for right Six Sigma project selection at an automotive industry using fuzzy logic based TOPSIS method. The fuzzy TOPSIS is a well recognized tool to undertake the fuzziness of the data involved in choosing the right preferences. In this context, evaluation criteria have been designed for selection of best alternative. The weights of evaluation criteria are calculated by using the MDL (modified digital logic) method and final ranking is calculated through priority index obtained by using fuzzy TOPSIS method. In the selected case study, this approach has rightly helped to identify the right project for implementing Six Sigma for achieving improvement in productivity.

The contribution of protected areas towards conservation and protection of biodiversity cannot be over emphasized. Likewise, the dependence of local communities on forest and natural resources cannot be overlooked. Hence for the long term viability of forest reserves and wildlife protected area, the relationship of local people living close to these areas are of key importance if conflict of use can be mitigated. Admittedly, decision-making with respect to forest resource use and protection are complex due to the multiple interests of the major stakeholders. Stakeholder involvement in the planning, management and policy analysis can help resolve conflicts, and increase the commitment of local people to support conservation of protected areas. In this paper, we employ the SWOT-AHP methodology, with the aid of the Priority Estimation Tool (PriEsT), to evaluate and prioritize three management strategies for the Kakum conservation area in Ghana, as a means to facilitate conservation while ensuring benefits to local people. Considering the management objectives of the conservation area, seventeen SWOT sub-factors were identified and used in rating the three alternative management strategies. Among the strength sub-factors, enforcement of protection regulations (S4) is the most important. Similarly, limited funds for patrolling and outreach programs (W3), local people’s interest in alternative livelihood (O4) and the presence of illegal activities (T3) are the most important weakness, opportunity and threat sub-factors respectively. The management strategy “institute village committees to support monitoring and protection of resources” (A1) has the highest priority rating, indicating that management authorities must pay more attention to collaborative management. We propose that to improve on protected area management in Ghana, more management strategy studies must be conducted. However, these studies may apply the fuzzy AHP technique since it is supposed to have a better capacity to handle uncertainties in human judgments during decision-making.

Recommender systems help users faced with the problem of information overflow and provide personalized recommendations. Social networks are used for providing variety of business or social activities, or sometimes a combination of both. In this paper, by considering social network of users and according to users’ context and items, a new method is introduced that is based on trust and context aware for recommender systems in social networks. The purpose of this paper is to create a recommender system which increases precision of predicted ratings for all users especially for cold start users. In the proposed method, walking on web of trust is done by neighbor users for finding rating of similar items and users’ preference is gotten of items’ context. The results show that suitable recommendation with user’s context is provided by using this method. Also, this system can increase precision of predicted rating for all users and cold starts too and however, do not decrease the rating’s coverage.