بازاریابی جاذبه ای دیجیتال: اندازه گیری عملکرد اقتصادی تجارت الکترونیکی خواروبار در اروپا و آمریکا
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 13 - تعداد صفحات فایل doc فارسی: 30
این تحقیق به بررسی رابطه هزینه-نتیجه اقدامات بازاریابی جاذبه ای مورد استفاده تجارت الکترونیکی خواروبار می پردازد. این تحلیل بر اساس به کارگیری مدل درفمن و استینر (1954) برای بودجه تبلیغات بهینه است که مولفین آن را با بازاریابی دیجیتال تطبیق می دهند و با تحلیل آماری تجاری تایید میکنند. با توجه به 29 شرکت عمده در شش کشور در افق زمانی شش سال، تحلیل ترکیبی تکنیک های بهینه سازی موتور جستجو و بازاریابی موتور جستجو هدف جذب کارکنان به صفحات وب شرکت ها را دنبال می کند. نتایج تایید می کند که تجارت الکترونیکی بازاریابی جاذبه ای دیجیتال را بهینه سازی می کند. تفاوت ها بسته به نوع فرمت و سطح کشور فرق دارند.
واژگان کلیدی: بازاریابی جاذبه ای | بازاریابی دیجیتال | تجارت الکترونیک | خرده فروشی | عملکرد اقتصادی | بهینه سازی سرمایه گذاری بازاریابی.
|مقاله ترجمه شده|
Impact of product perishability on agri-food supply chains design
تأثیر فسادپذیری محصول در طراحی زنجیره های تأمین مواد غذایی غذایی-2021
Perishability of agri-food products impacts the economic, environmental, and social aspects of agri-food supply chains (AFSCs). Product perishability is, usually, considered in tactical and operational decisions, but not in strategic ones, such as the design of the AFSC. The contribution of this paper is that it investigates the impact of product perishability on an AFSC design. To do so, first, a novel mixed-integer linear programming model is proposed to design entire AFSCs with multiple-products, which considers capacity, planting, harvesting, transporting and perishability constraints for a multiple-period horizon. A set of scenarios is generated by varying products’ shelf life and analysed. The results show that product perishability is relevant when designing AFSCs, especially for products with a short shelf life. The results show that an AFSC’s economic performance improves when product perishability is considered. The model can also help in determining the investment needed extend products shelf life while remaining profitable. Other uses could include tactical planning for chains already in place.
Keywords: Agri-food supply chain design | Planting | Harvest | Optimization | Shelf life
Techno-economic and life cycle greenhouse gas emissions assessment of liquefied natural gas supply chain in China
ارزیابی فنی و اقتصادی و چرخه زندگی انتشار گازهای گلخانه ای از زنجیره تامین گاز طبیعی مایع در چین-2021
This study assessed the techno-economic performance and life cycle greenhouse gas (GHG) emissions for various liqueﬁed natural gas (LNG) supply chains in China in order to ﬁnd the most efﬁcient way to supply and use LNG. This study improves current literature by adding supply chain optimization options (cold energy recovery and hydrogen production) and by analyzing the entire supply chain of four different LNG end-users (power generation, industrial heating, residential heating, and truck usage). This resulted in 33 LNG pathways for which the energy efﬁciency, life cycle GHG emissions, and life cycle costs were determined by process-based material and energy ﬂow analysis, life cycle assessment, and pro- duction cost calculation, respectively. The LNG and hydrogen supply chains were compared with a reference chain (coal or diesel) to determine avoided GHG emissions and GHG avoidance costs. Results show that NG with full cryogenic carbon dioxide capture (FCCC) is most beneﬁcial pathway for both avoided GHG emissions and GHG avoidance costs (70.5e112.4 g CO2-e/MJLNG and 66.0e95.9 $/t CO2-e). The best case was obtained when NG with FCCC replaces coal-ﬁred power plants. Results also indicate that hydrogen pathways requires maturation of new technology options and signiﬁcant capital cost reductions to become attractive.© 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license(http://creativecommons.org/licenses/by/4.0/).
Keywords: Liquefied natural gas | Techno-economic assessment | Life cycle greenhouse gas emission | Cold recovery | Blue hydrogen
Sustainable supply chain design considering indicators of value creation
طراحی پایدار زنجیره تأمین با در نظر گرفتن شاخص های ارزش آفرینی-2021
The growing concern about environmental and social impacts resulting from industrial activities has rethought the problem of supply chain design, in which the environmental and social pillars must be considered in the design process. Although the optimization of economic performance has been the main objective on the design of supply chains, the integration of financial indicators into design models has not been widely developed. This article proposes a mathematical programming model for the design of a sustainable supply chain. The objective function of the proposed model is the maximization of the market value added as a measure of the accumulated economic performance. The formulation includes the application of weighted raw material, transportation, and production costs to correctly calculate the cost of goods sold, a feature widely ignored in the literature. Regarding the social dimension, the installation of plants and distribution centers in regions with low human development index is promoted, and in the environmental dimension, the equivalent tons of carbon dioxide emitted by the land transportation of goods are restricted. An optimization-based primal heuristic is used as a solution strategy for the resulting mixed integer non-linear programming model. Finally, the proposed model is applied to a case study, which demonstrates the importance of considering sustainability for supply chain configuration.
Keywords: Supply chain design | Sustainability | Financial measures | Market value added | Weighted costs
Improving the sustainability of a reverse supply chain system under demand uncertainty by using postponement strategies
بهبود پایداری سیستم زنجیره تأمین معکوس تحت عدم اطمینان تقاضا با استفاده از استراتژی های به تعویق انداختن-2021
In recent decades, issues of resource depletion and waste piling have grown at an alarming rate, which are happening in the cases of product wastes with significant residual values, such as e-waste. To address these issues, stakeholders have focused to develop a reverse supply chain (RSC) system that can sustain profitable takeback, reuse, and recycling operations in the long-term. Such a system requires efficiency in handling complex operations involving various players while being responsive to demand uncertainty and changes. One way in realizing these capabilities is by incorporating postponement concepts to the integrated RSC network, allowing the delay of operations susceptible to demand uncertainty. This study pioneers the formulation of a two-stage stochastic mixed-integer model of a multi-player RSC with speculation-postponement strategies. The sample average approximation method is used to solve and verify the proposed model that has an uncertain demand. Various speculation-postponement strategies, namely, disassembly, reconditioning, and reassembly strategies are developed to configure forecast and demand-driven RSC operations, including the purchasing, product takeback, production planning, inven- tory, and item speculation decisions. Numerical examples of the notebook computer RSC demonstrate that utilizing the right operation postponement can increase the network’s flexibility, allowing better economic performances even under high demand uncertainty risks and stricter environmental regula- tions. In various cases, the RSC performs better with speculation-postponement strategies than without postponement strategy, demonstrating the proposed model’s superiority. This study can provide insight to decision-makers to improve RSC sustainability through postponement. Moreover, the model is generic and can be applied to other products as well.© 2021 Elsevier Ltd. All rights reserved.
Keywords: Reverse supply chain | Reuse | Recycling | Postponement | Demand uncertainty
The potential of simulations for developing multiple learning outcomes: The student perspective
پتانسیل شبیه سازی برای ایجاد نتایج یادگیری چندگانه: دیدگاه دانشجو-2020
One of the main challenges for higher education study plans in business, management and economics is to go beyond traditional teaching models to foster skills development, and to de- velop interdisciplinary approaches to enhance education for sustainable development. This ar- ticle presents an innovative classroom activity for advancing multiple learning outcomes in economics courses, and measures student perceptions about how useful simulations can be to develop these key learning outcomes. It consists of a simulation in which students represent different countries and carry out international exchanges to implement a set of public policies, attempting to improve their overall social and economic performance through the lens of the 2030 Agenda and the Sustainable Development Goals. Overall, the findings suggest that students perceived the simulation as a very productive tool to develop multiple learning outcomes. They considered it particularly useful with regard to improving their knowledge acquisition, problem solving, critical thinking and interpersonal skills. They also stated that role-play activities are an effective way to enhance affective-learning outcomes. This simulation is suitable to be implemented in different economics courses, such as international political economy, international economics and other regional economics courses. It could also be adapted to several classroom settings with groups of different sizes.
Keywords: Simulation | Role-play | Problem-based | International economics | Sustainable development goals | 2030 agenda
The role of multiple ties in knowledge networks: Complementarity in the Montefalco wine cluster
نقش پیوندهای متعدد در شبکه های دانش: مکمل در خوشه شراب Montefalco-2020
After decades of studies about pervasive, wide, and inclusive knowledge externalities and the advantages of being there, recent literature on management, industrial marketing, economic geography, regional studies, and related fields has stressed that knowledge spreads imperfectly, unevenly, and selectively within regional and cluster contexts. In this respect, little is known about the role played by heterogeneous knowledge ties among the same set of actors and to what extent they follow overlapping or different routes of exchanging knowledge. Thus, an investigation of multiple knowledge networks in clusters is a fundamental approach to interpret the reasons for innovation and economic performance. With an original dataset comprised of data collected by surveys directly administered in local wineries in the Montefalco wine region of Italy, this paper aims to analyse the roles played by different local knowledge ties within a sector that is critically driven by the exchange of knowledge among economic actors. Social network analysis and exponential random graph modelling were applied to investigate the driving forces of the knowledge flows. The empirical results showed that economic and social ties positively affect the spread of knowledge, but the former has a higher magnitude impact than the latter. Moreover, they follow complementary routes of exchange rather than overlapping ones. We suggest that such a structure has implications for understanding the diffusion of knowledge and structures of innovation in cluster contexts.
Keywords: Multiple networks | Knowledge diffusion | ERGM | Industrial cluster | Wine industry
Coordinating energy management for multiple energy hubs: From a transaction perspective
هماهنگی مدیریت انرژی برای مراکز مختلف انرژی: از منظر معاملات-2020
The coupled multiple energy carriers integrated with distributed energy units, e.g., energy converters, renewable energy, and storages have offered energy hubs high flexibility and independent controllability. In this paper, a decentralized transactive based energy management framework enabling coordination among multiple energy hubs (MEHs) is developed. Aiming to improve the economic performance of the interconnected energy hub system, a peer to peer (P2P) transaction platform is established for the self-organized trading of MEH. Particularly, a generic scheme for the generation of transaction prices is specified for the energy hub, which is firstly integrated into a modified alternating direction method of multipliers (ADMM) method for the realization of achieving P2P transaction consensus amongst MEHs. Furthermore, this price scheme offers high traceability of energy-price flows inner EHs operation process and external energy transaction activities, providing transparent price signals in the local P2P market. A three-energy hub system is simulated, and numerical case studies have demonstrated the proposed coordination scheme actively encourages individual EH to enroll in the P2P transaction scheme, offering all EHs a win-win transaction framework and improving the global economic efficiency of the networked system.
Keywords: Energy hubs | Decentralized optimization | P2P transaction
Facilitating high levels of wind penetration in a smart grid through the optimal utilization of battery storage in microgrids: An analysis of the tradeoffs between economic performance and wind generation facilitation
تسهیل سطح بالای نفوذ باد در یک شبکه هوشمند از طریق استفاده بهینه از باتری در ریز شبکه ها : تجزیه و تحلیل مبادلات بین عملکرد اقتصادی و تسهیل تولید باد-2020
The aim of this paper was to investigate the trade-offs that can be achieved between optimizing the electricity costs of a building integrated microgrid, while simultaneously facilitating high levels of wind penetration in a smart grid. This study applied multi-objective optimization to obtain a daily charge and discharge schedule of a battery bank, which was used to both store electricity from the microgrid and smart grid and could also provide electricity to the building and the smart grid. Multi-objective optimization was employed due to the independent objectives of minimizing building operating cost and maximizing the facilitation of wind energy from the smart grid. The trade-offs between the two objectives were simulated, evaluated and analyzed. A priority weighting factor (α) was applied to each objective. The purpose of α was to vary the importance of each objective relative to the other in an inversely proportional manner. This enabled the algorithm to optimize the battery operating schedule for the economic performance of the microgrid, the facilitation of wind generation on the smart grid or for trade-offs in between. The results present a comprehensive evaluation of 96 scenarios with varying daily weather conditions, building electricity demand, electricity pricing, microgrid output and wind penetration from the smart grid. A multi-objective optimization approach was then applied for each of the 96 scenarios with 11 α values to determine optimal trade-offs in these scenarios. Generally for the 96 scenarios analyzed, when the α value was 20% or higher, the amount of extra wind generation facilitation obtained was negligible while microgrid operating costs continued to increase. The results showed that when changing from an α value of 0% to an α value of 20%, there was a large increase in wind generation facilitation compared to the corresponding increase in cost, with wind generation facilitation increasing from its minimum value to within 89% of its maximum value (10.7% to 14.3% of facilitated wind generation). The corresponding building cost increased from its minimum value to within 13% of its maximum value (€1.14/day to €1.37/day). This produced a cost of approximately €0.06 for every 1% increase in wind generation facilitation. In comparison to this, changing from an α value of 20% to an α value of 100% implied a cost of approximately €3.64 for every 1% increase in wind generation facilitation. These results indicated that smart grids with large percentages of wind penetration may be substantially aided by utilizing the storage capacity of building integrated microgrids for a relatively low monetary cost.
Keywords: Multi-objective optimization | Energy management | Wind penetration | Trade-off analysis | Battery | Microgrid
Environmental management and labor productivity: The moderating role of quality management
مدیریت محیط زیست و بهره وری نیروی کار: نقش تعدیل کننده مدیریت کیفیت-2020
Abundant studies have been made around the impact of environmental management on economic performance in business, but there is still no consistent conclusion. This study focuses on labor productivity as a measure of economic performance. We argue that environmental management has a negative impact on the labor productivity of company in the special context of Chinese increasingly stringent environmental regulations, but this impact is moderated by quality management. Environmental management score and the years that companies have passed ISO 9001 are set as proxies for independent and moderating variable respectively. A sample including 229 Chinese listed companies is used to test the hypotheses by multiple regression analysis. Results show that environmental management has a negative impact on labor productivity, and quality management moderates the relationship.
Keywords: Environmental management | Labor productivity | Quality management | Moderating role