Historically, management theory has ignored the constraints imposed by the biophysical (natural) environment. Building upon resource-based theory, this article attempts to fill this void by proposing a natural-resource-based view of the firm—a theory of competitive advantage based upon the firm's relationship to the natural environment. It is composed of three interconnected strategies: pollution prevention, product stewardship, and sustainable development. Propositions are advanced for each of these strategies regarding key resource requirements and their contributions to sustained competitive advantage.

A natural resource-based view of the firm

Introduction to quality engineering : designing quality into products and processes

https://ir.nctu.edu.tw:443/bitstream/11536/100881/1/982410H009004.PDF

國際期刊 Transportation Research-Part E---Logistics and Transportation Review 特刊編輯補助

The aim of this study is to determine relations between transformational leadership, organizational learning, knowledge management, organizational innovation, and organizational performance among Iranian manufacturing companies through structural equation modeling. Two hundred eighty senior, executive, administrative, and other-level managers are selected from among 106 companies having more than 50 employees. Data are analyzed using structural equation modeling. The following findings are found: transformational leadership directly influenced organizational learning and knowledge management. Organizational learning directly and positively influenced knowledge management of manufacturing firms. Transformational leadership positively influenced organizational innovation and organizational performance of manufacturing firms. Organizational learning and knowledge management directly influenced organizational innovation; whereas organizational learning and organizational innovation directly influenced organizational performance among manufacturing firms. Meanwhile, transformational leadership positively and indirectly influenced organizational innovation through organizational learning and knowledge management. Knowledge management and organizational learning effected organizational performance indirectly by organizational innovation. The fit indices shows that the proposed model have an appropriate fit (χ2/df = 2.33, RMSEA = 0.069, NFI = 0.95, NNFI = 0.95, CFI = 97). If leaders of manufacturing firms undertake a transformational role and use organizational learning and knowledge management, this will facilitate organizational innovation and will consequently improve organizational performance to a great extent in manufacturing firms.

Relations between transformational leadership, organizational learning, knowledge management, organizational innovation, and organizational performance: an empirical investigation of manufacturing firms

A review of trade credit literature: Opportunities for research in operations

A mathematical model for green supply chain coordination with substitutable products

Due to the increasing number of end-of-life (EOL) products and their related environmental concerns, much attention has been paid to reverse logistics. In this paper, we consider a two-echelon reverse supply chain (RSC) with one manufacturer and one retailer who try to improve sustainable consumption by increasing customers’ willingness to return used products through offering a discount or a direct fee in exchange for bringing back EOL products. Afterward, the model is extended to consider a closed loop supply chain (CLSC). Quantity discounts and increasing fee contracts are proposed to coordinate supply chains. Then, government role in improving coordinated supply chains through donating different incentives (tax exemption and subsidy) to supply chain members are analyzed. Results show that total channel profit in the coordinated case is improved. Also, in the proposed models, each member has enough motives to participate in the plan. In addition, results demonstrate that government-sponsored incentives to the manufacturer are preferred to the retailer.

Reverse and closed loop supply chain coordination by considering government role

A major challenge in supply chain ordering management is the coordination of ordering policies adopted by each level of the chain, so as to minimize inventory costs. This paper describes a new approach to decide on ordering policies of supply chain members in an integrated manner. In the first step supply chain ordering management has been considered as a multi-agent system and formulated as a reinforcement learning (RL) model. In the final step a Q-learning algorithm is proposed to solve the RL model. Results show that the reinforcement learning ordering mechanism (RLOM) is better than two other known algorithms.

A reinforcement learning model for supply chain ordering management: An application to the beer game

Pricing and greening decisions in a three-tier dual channel supply chain

Development of strategies to control urban air pollution is a complex process involving a wide range of sciences. In this study a system dynamics model is proposed in order to estimate the behavior of parameters affecting air pollution in Tehran. The proposed model includes two subsystems: (1) urban transportation, (2) air polluting industries. In this paper, several policies are proposed to mitigate air pollution. The proposed model is simulated under several scenarios using historical data of transportation and industrial sectors in Tehran. Policies are categorized as: (1) road construction, (2) technology improvement in fuel and automotive industries, (3) traffic control plans, (4) development of public transportation infrastructures. The results show effectiveness of the proposed policies. In this case, technology improvement in fuel and automotive industries and development of public transportation infrastructures are more effective policies in order to reduce air pollution.

Jafar Heydari

Papers

A mathematical model for green supply chain coordination with substitutable products

Reverse and closed loop supply chain coordination by considering government role

A reinforcement learning model for supply chain ordering management: An application to the beer game

Pricing and greening decisions in a three-tier dual channel supply chain

A system dynamics modeling for urban air pollution: A case study of Tehran, Iran