
Mohammad Taghi IsaaiSharif University of Technology | SHARIF · Graduate School of Management and Economics
Mohammad Taghi Isaai
Doctor of Philosophy
About
22
Publications
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Introduction
Publications
Publications (22)
Purpose
The purpose of this research was to model the impact of customer knowledge on the performance of organization with a focus on information technology industry. Furthermore, it is intended to analyze the effect of customer knowledge investment on the performance measures, by reviewing investment policies.
Design/methodology/approach
The rela...
Knowledge is an important part of any organization’s asset and the most important sources of knowledge is related to customers. Hence, companies use knowledge management in order to increase their competitive advantage, and in particular try to benefit from the customer knowledge as the major factor in the organization success. This research aims t...
Previous studies have revealed that motivating people to share knowledge is an important challenge in knowledge management (KM) in companies. Further, the recent growing use of enterprise social media (ESM) for KM creates an unprecedented exploration direction for business managers and researchers. A more transparent insight into ESM attributes and...
Traffic safety policies are still conventionally ranked on financial and environmental criteria in developing countries, yet the equity concept can be advantageously used as an integral part of the process of traffic safety policy making. Equity in transportation is defined as how appropriately and equally the impacts of transportation are distribu...
Recent years, air pollution phenomenon has become one of the most crucial problems of metropolises like Tehran. Urban transportation of this highly populated city is the main reason for its air pollution problem. Despite all transport infrastructure developments, new policies and stringent regulations, the air pollution problem has still remained c...
Many organizations are striving to survive and remain competitive in the current uncertain and rapidly changing
economic environment. Businesses must innovate to face this volatility and maintain their competitiveness. Organizational learning is a complex process with many interrelated elements linking knowledge management
with organizational innov...
The Temporal database is one of the databases that manipulate by append-only policy instead of updating in-place. The data in these databases have two main features: valid-time and transaction-time. Since, the data aren't deleted in temporal database; instead they are increasingly expanded and grown up, it's necessary to adopt a mechanism for contr...
Traffic congestion, delay, accident, air and sound pollution are main downsides of living in metropolitans these days. Cities managers are trying to improve life standards in these cities while an important aspect is to reduce traffic and corresponding problems. In this research, expert knowledge is used to identify and organize effective criteria...
Accessibility is one of the main causes of well-being and growth in contemporary societies. Transportation is the backbone of accessibility systems that lead to the growth of economic and social networks and spatial dispersion of activities. Unfortunately, the adverse effects of transportation have a great impact on the natural and human environmen...
There is a substantial body of empirical literature that establishes the benefits of customer satisfaction for enterprises. Among different available options to present our service, selecting the best choice in the customers’ eyes is a vital decision.Developing appropriate passenger train schedules is counted as one of the major managerial concerns...
Iranian Automotive market is oligopoly, developing and dynamic. For this reason we are interested on knowing how the relevant components of the automotive market affect their brands' market share. Considering that the conditions of the problem are adjusted perfectly to the ANP structure, we developed a model based on this tool to estimate the marke...
The most important event following the establishmenet of the Internet network was the Web introduced by Tim Berners-Lee. Websites
give their owners features that allow sharing with which they can publish their content with users and visitors. In the last
5 years, we have seen some changes in the use of web. Users want to participate in content shar...
Electronic society today is one of main challenges of developing and developed countries. It plays a central role in the national development plans and thus many ICT based projects are dedicated to digital society development. In this regard, government organizations must reengineer their processes and structures to meet the e-government and e-soci...
This paper proposes an asymmetric model for urban public transportation networks. Predictive techniques are being developed, to allow advanced modeling and comparison with historical baseline data. The current trend is toward fewer costly microprocessor modules with hardware memory management and real-time operating systems. This model is formulate...
This paper presents a hybrid scheduling technique for generating the predictive schedules of passenger trains. The algorithm, which represents a combination of simulated annealing and a constraint-based heuristic, has been designed using an object-oriented methodology and is suitable for a primarily single-track railway with some double-track secti...
Systematic management of enterprise knowledge, e.g. new ideas, innovations and patents, has a great impact on business sustainability and growth. Without comprehensive assessment of knowledge assets, agile companies can not design and run knowledge promotion programs required for survival in competitive environments in modern economy. A comprehensi...
Predictive and reactive train scheduling are tactical and
operational decision making, respectively, under constraints (e.g.
resource capacity, managerial objectives) and under uncertainty (e.g.
imprecise data and information, unforeseen events). Predictive
scheduling produces timetables taking into account the market demand and
resource utilizatio...
The paper provides a discussion on the train scheduling algorithms
developed to create predictive schedules for a fleet of passenger trains
which travel along a primarily single-track railway with some
double-track stretches. The algorithms are an object oriented constraint
based heuristic and two hybrid methods, which represent combinations of
the...
A constraint-based heuristic technique for predictive scheduling
of passenger trains is presented in this paper. The algorithm, which is
lookahead, has been designed using an object-oriented methodology and is
suitable for a single-track railway with some double-track sections. It
is shown that the heuristic tends to minimize total waiting time of...
Transportation Demand Management has proved efficacious where increasing transportation supply seems ineffective or financially infeasible. Demand management comprises a wide range of policies most of which are different in nature. Assessing impact of various strategies in Transportation Demand Management and developing a system dynamic model to co...