A study on the effect of teleworking on quality of work life

Nowadays teleworking has become a useful technique for business development and improving employees’ quality of life. Many people are now able to stay at home and do their daily job activities without bothering to wear formal closes. This paper presents an empirical investigation to study the effect of teleworking on quality of life using Walton (1976) method [Walton, R. E. (1973). Quality of working life-what is it. Sloan Management Review, 15(1), 11-21.]. The variables of quality of working-life according to Walton Model are: “Adequate and fair compensation”, “Safe and Healthy Working conditions”, “Opportunity for Continued Growth and Security”, “The Social Relevance of Work Life”, “Total Life Space”, “Social Integration in the Work”, “Constitutionalism in the work Organization”, “Human Progress Capabilities”. Using different statistical tests, the study indicate that teleworking had significant positive relationship with Quality of Working-Life components. The study also reports that different personal characteristics such as age, gender had no meaningful impact on teleworking

Joint Determination of Price and Upgrade Level for a Warranted Second-hand Product

An upgrade action is a pre-sale procedure that brings the second-hand item to an improved functional state and effectively reduces its age. This action is usually costly and adds directly to the sale price of the second-hand product, but it improves the product reliability and can reduce the warranty servicing cost. In the present paper, we propose a decision model to determine the optimal price and upgrade strategy of a warranted second-hand product to maximize the dealer's expected profit. The objective function includes both demand and cost functions, where purchase price from an end user, upgrade cost, and warranty cost are involved. We illustrate our finding using real data on second-hand electric device. Also, a sensitivity analysis is conducted to evaluate the effect of model parameters on the optimal solution

A Two-Stage DEA to Analyze the Effect of Entrance Deregulation on Iranian Insurers: A Robust Approach

We use two-stage data envelopment analysis (DEA) model to analyze the effects of entrance deregulation on the efficiency in the Iranian insurance market. In the first stage, we propose a robust optimization approach in order to overcome the sensitivity of DEA results to any uncertainty in the output parameters. Hence, the efficiency of each ongoing insurer is estimated using our proposed robust DEA model. The insurers are then ranked based on their relative efficiency scores for an eight-year period from 2003 to 2010. In the second stage, a comprehensive statistical analysis using generalized estimating equations (GEE) is conducted to analyze some other factors which could possibly affect the efficiency scores. The first results from DEA model indicate a decline in efficiency over the entrance deregulation period while further statistical analysis confirms that the solvency ignorance which is a widespread paradigm among state owned companies is one of the main drivers of efficiency in the Iranian insurance market

Warranty and Sustainable Improvement of Used Products through Remanufacturing

Currently, a large number of used/second-hand products are being sold with remanufacturing. Remanufacturing is a process of bringing used products to a better functional state and can be applied as a way for (1) controlling the deterioration process, (2) reducing the likelihood of a failure over the warranty period and (3) making the used item effectively younger. Remanufacturing is relatively a new concept and has received very limited attention. In this paper, we develop an important sustainable improvement approach for used items sold with failure free warranty to determine the optimal improvement level. Our model makes a useful contribution to the reliability growth literature, as it captures the uncertainty and suggests improvement in the remanufacturing process. By using this model, the dealers can decide whether and how much to invest in remanufacturing projects

Designing a Supply Chain Network under the Risk of Disruptions

This paper studies a supply chain design problem with the risk of disruptions at facilities. At any point of time, the facilities are subject to various types of disruptions caused by natural disasters, man-made defections, and equipment breakdowns. We formulate the problem as a mixed-integer nonlinear program which maximizes the total profit for the whole system. The model simultaneously determines the number and location of facilities, the subset of customers to serve, the assignment of customers to facilities, and the cycle-order quantities at facilities. In order to obtain near-optimal solutions with reasonable computational requirements for large problem instances, two solution methods based on Lagrangian relaxation and genetic algorithm are developed. The effectiveness of the proposed solution approaches is shown using numerical experiments. The computational results, in addition, demonstrate that the benefits of considering disruptions in the supply chain design model can be significant

Examining different factors in effectiveness of advertisement

This paper aims to study the effects of different factors on advertising by examining the simultaneous effects of exposure to the advertisement, type of the media, creativity in advertisements and being informative. Using data collected from one of the chain supermarkets of Tehran called “Shahrvand”; the analysis focuses on the effectiveness of four independent variables and impact of customers’ needs on encouraging consumers to purchase. The results elucidate a relationship among these four variables with encouraging people to purchase. Using creativity in advertisements, however dominate the effects on this issue. The marketing and advertisement environment are dynamic and the paper concentrates only on some of the more effective factors. Producers might be more successful in choosing the best way to promote their goods and services by following the proposed model. This paper puts four effective factors together and investigates their impact on advertisement, which was not done by any other previous papers. Unlike other studies, this paper examines the role of customer needs together with four other elements on advertisement effectiveness

Designing a Supply Chain Network under the Risk of Disruptions

This paper studies a supply chain design problem with the risk of disruptions at facilities. At any point of time, the facilities are subject to various types of disruptions caused by natural disasters, man-made defections, and equipment breakdowns. We formulate the problem as a mixed-integer nonlinear program which maximizes the total profit for the whole system. The model simultaneously determines the number and location of facilities, the subset of customers to serve, the assignment of customers to facilities, and the cycle-order quantities at facilities. In order to obtain near-optimal solutions with reasonable computational requirements for large problem instances, two solution methods based on Lagrangian relaxation and genetic algorithm are developed. The effectiveness of the proposed solution approaches is shown using numerical experiments. The computational results, in addition, demonstrate that the benefits of considering disruptions in the supply chain design model can be significant

Using game theory and fuzzy MCDM to choose strategic orientation in uphold of private sector by approach balanced scorecard: Iranian industries

During the past few years, balanced scorecard (BSC) has been widely used among academicians and researchers involved in strategic management and managerial accounting. The BSC uses four perspectives which reflect firm value creation activities: learning and growth perspective, internal/business process perspective, customer perspective, and finally financial perspective. Balance scorecard has many advantages but it also suffers from some drawbacks features. We propose an interaction method among different strategic agents of scorecard as players providing a methodology for collaboration among different players to reduce any inconsistency.BSC; balanced scorecard; cooperative game theory; evaluation performance; FAHP; fuzzy AHP; case studies; analytical hierarchy process; multicriteria decision making; fuzzy MCDM; Iran.