A suitable Model for Formulating Technology Strategy (Case study: A Car Parts Manufacturer in Iran Khodro Company)

Soil salinity is a global problem, especially in developing countries, which affects the environment and productivity of agriculture areas. Salt has a significant effect on the complex dielectric constant of wet soil. However, there is no suitable model to describe the variation in the backscattering coefficient due to changes in soil salinity content. The purpose of this paper is to use backscattering models to understand behaviors of the backscattering coefficient in saline soils based on the analysis of its dielectric constant. The effects of moisture and salinity on the dielectric constant by combined Dobson mixing model and seawater dielectric constant model are analyzed, and the backscattering coefficient is then simulated using the AIEM. Simultaneously, laboratory measurements were performed on ground samples. The frequency effect of the laboratory results was not the same as the simulated results. The frequency dependence of the ionic conductivity of an electrolyte solution is influenced by the ion’s components. Finally, the simulated backscattering coefficients measured from the dielectric constant with the AIEM were analyzed using the extracted backscattering coefficient from the RADARSAT-2 image. The results show that RADARSAT-2 is potentially able to measure soil salinity; however, the mixed pixel problem needs to be more thoroughly considered.

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Industry 4.0 through the lenses of technology, strategy, and organization A compilation of case study evidence

Vezetéstudomány / Budapest Management Review ◽

10.14267/veztud.2020.11.02 ◽

2020 ◽

Vol 51 (11) ◽

pp. 14-25

Author(s):

Krisztina Demeter ◽

Dávid Losonci ◽

Róbert Marciniak ◽

Judit Nagy ◽

Péter Móricz ◽

...

Keyword(s):

Case Studies ◽

Automotive Industry ◽

Technology Implementation ◽

Industry 4.0 ◽

Public Information ◽

Technology Strategy ◽

Comprehensive Investigation ◽

Business Services ◽

Management Literature

In the last few years, the management literature has become noisy with Industry 4.0 (I4.0). Although several concepts and typologies intend to make the phenomenon more understandable, these endeavours generally focus on technological aspects or specific issues. Therefore, integrated approaches of the I4.0 transformation on the business side and a comprehensive investigation of this phenomenon on the academic side are still needed. This paper synthetizes the lessons of 15 case studies from five sectors (automotive, FMCG, logistics services, retail, and business services) and places them in a triadic framework of technology, strategy, and organization. The case studies are based on interviews, internal documents and public information. This paper reveals that the analysed companies focus on I4.0 technologies that are substantially related to the development of core activities. Companies in a highly competitive global environment (e.g., automotive industry and business services) are more prepared and progress faster with I4.0 technology implementation.

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Forecast Foreign Exchange Rate: The Case Study of PKR/USD

Mediterranean Journal of Social Sciences ◽

10.36941/mjss-2020-0048 ◽

2020 ◽

Vol 11 (4) ◽

pp. 129

Author(s):

Muhammad Asadullah ◽

Nawaz Ahmad ◽

Maria José Palma Lampreia Dos-Santos

Keyword(s):

Exchange Rate ◽

Arima Model ◽

Future Trend ◽

Suitable Model ◽

The Future ◽

The Exchange Rate ◽

The Difference ◽

The Government ◽

Future Exchange

The main aim of this paper is to forecast the future values of the exchange rate of the USD. Dollar (USD) and Pakistani Rupee (PR). For this purpose was used the ARIMA model to forecast the future exchange rates, because the time series was stationary at first difference. Data reported to five years ranging from the first day of April 2014 to 31st March 2019. The results proved that ARIMA (1,1,9) is the most suitable model to forecast the exchange rate. The difference between the forecasted values and actual values are less than 1%; therefore, it was found that the ARIMA is robust and this model will be helpful for the government functionaries, monetary policymakers, economists and other stakeholders to identify and forecast the future trend of the exchange rate and make their policies accordingly.

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Simulation of stakeholders’ consensus on organizational technology acceptance (case study: Internet of Things)

Kybernetes ◽

10.1108/k-06-2020-0352 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ali Sarkeshikian ◽

Mohhamadali Shafia ◽

Amir Zakery ◽

Alireza Aliahmadi

Keyword(s):

Decision Making ◽

Technology Acceptance ◽

Opinion Dynamics ◽

Process Time ◽

Suitable Model ◽

Consensus Process ◽

Real World Data ◽

Content Type ◽

Advantages And Disadvantages

Purpose In the organizational technology acceptance (TA) decision-making process, stakeholders have many divergence opinions. Sometimes, an opposing stakeholder of a decision can stop the whole process of decision-making. In such a case, consensus may take a long time followed by a high risk. The purpose of this study is twofold. First, to find the best model with the least prediction error for the simulation of the consensus process in TA decisions. Second, to investigate the time required for the consensus process to yield the TA decision in different scenarios and to propose solutions to reduce the required time in a case study. Design/methodology/approach This study uses real-world data containing 1,186 actual observations. Stakeholders are decision-maker agents, and the observations are derived from survey data and used for simulation. Data were obtained from 126 experts in the Iranian rail freight industry. Opinion dynamics theory was used for agent-based simulation of stakeholders’ behavior. The agents interacted over time and their effects on other agents’ opinions were investigated. Findings The results illustrate an appropriate opinion changing model, a data-gathering method and a simulation scenario for TA consensus. The suitable model was selected after examining the advantages and disadvantages of and comparing the prediction results for different models with the real database of opinions. To reduce the consensus process time, the results suggest gathering the team members and networking with some leaders as advocators. A large number of advocators with high acceptability and continuous exchanging messages with other agents can improve the acceptance rate and have the most significant impact on other stakeholders’ opinions. Originality/value To the best of the authors’ knowledge, previous studies simulate individual TA processes. However, there is a difference between the individual TA and the organizational TA. The organizational TA requires the simultaneous decision-making of different stakeholders. In this research, the organizational TA was investigated.

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Top Management Role in the Development of an EA Programme in Five Portuguese Enterprises

International Journal of Information Communication Technologies and Human Development ◽

10.4018/jicthd.2013040103 ◽

2013 ◽

Vol 5 (2) ◽

pp. 37-46 ◽

Cited By ~ 1

Author(s):

Ana Lima ◽

Rui Gomes

Keyword(s):

Balanced Scorecard ◽

Enterprise Architecture ◽

New Technologies ◽

Business Management ◽

Investment Decisions ◽

Top Management ◽

Suitable Model ◽

Case Study Methodology ◽

Study Methodology

Enterprise Architecture is an active, strategic data base which defines a business, what is necessary to operate a business, including the technologies that are needed to support its operations, and the transition processes necessary for implementing new technologies in response to changes in the needs of the business (Hite, 2002). The strategic importance of Enterprise Architecture (EA) is recognised by a growing number of global enterprises all over the world (Durst & Daum, 2007; Ross, Weill, & Robertson, 2006) and investment in Enterprise Architecture programmes raises the expectations of them being beneficial. Through case study methodology, using questionnaire and/or interviews, data from five Portuguese enterprises were collected and analysed, determining the top management vision about the different stages of the development EA programme, determining the level of maturity with regard to the implementation of EA in these enterprises. The authors found that, despite the limitations of this study, the top management of the 5 enterprises consulted see EA as a business asset since it contains all the information necessary to make decisions in the business, and allows the ITs to be aligned with the business’s strategy; that management structure is important for its development, that most of the enterprises consulted do not use assessment models for investment decisions in EA, and that the AE Balanced Scorecard is considered a suitable model for business management and EA, although most do not use it.

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Identification, Assessment and Raking of Geomorphosites: A Guide to Sustainable Tourism Development. Case Study of Khorramabad County in Iran

Journal of Environmental Management and Tourism ◽

10.14505//jemt.v10.1(33).25 ◽

2019 ◽

Vol 10 (1) ◽

pp. 252

Author(s):

Mehran MAGHSOUDI ◽

Hedieh DEHESTANI ◽

Mehdi BAHARVAND ◽

Zahra HAJIKARIMI

Keyword(s):

Geographical Location ◽

Suitable Model ◽

Field Observations ◽

Urban Settlement ◽

Sustainable Tourism Development ◽

Salt Mines ◽

The World ◽

Southwestern Iran ◽

Available Information

Geotourism is defined as tourism that involves protection of geographical features, environment, culture, aesthetic and heritage of the places that are visited and bring prosperity to its citizens. the importance of geomorphosites in tourism sustainable development, different researches have been done around the world in recent decades Khorramabad county is located in Lorestan province in the southwestern Iran. It has a high potential to attract domestic and foreign tourists owing to its geographical location, climate, topography and geological specific conditions. In this paper, 39 sites were also studied using field observations and available information, and then 8 sites were chosen and ranked using Rocha model (2014), fieldwork and experts' viewpoint and researches of this study. Finally, assessment of 8 geomorphosites was done using a suitable model for the study area. According to the assessment of 8 geomorphosites, Makhmalkooh was selected with high score and Salt mines have earned the lowest score. Also, the results showed that most of the selected geomorphosites have good infrastructure and are approximately near to the urban settlement.

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HULL-WHITE’S VALUE AT RISK MODEL: CASE STUDY OF BALTIC EQUITIES MARKET

Journal of Business Economics and Management ◽

10.3846/16111699.2017.1357049 ◽

2017 ◽

Vol 18 (5) ◽

pp. 1023-1041 ◽

Cited By ~ 1

Author(s):

Nikola RADIVOJEVIĆ ◽

Nikola V. ĆURČIĆ ◽

Djurdjica Dj. VUKAJLOVIĆ

Keyword(s):

Value At Risk ◽

Risk Model ◽

Basel Ii ◽

Suitable Model ◽

Model Case ◽

Significant Research ◽

Survey Results ◽

The Baltic ◽

Risk Managers

Analysis of the applicability of the Hull and White (FHS) model on the Baltic equities market has not been the subject of significant research, especially not in the context of meeting the Basel Committee backtesting rules. The paper discusses the applicability of different variants of this model, in order to answer the question whether any variants (and which of them) of the model can be used in these markets in the context of the Basel II and III standards. The survey results show that 1) there isn’t an optimal variant of this model, but that risk managers have to keep in mind stylized facts of financial returns when they specify the FHS model; 2) according to different criteria of the validity of the model (Basel II and III standards) different variants of models are differently ranked, which suggests that selection of a suitable model implies the use of a large number of different criteria, the model validity and loss function, especially those who take care of the size of tail loss and ES.

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MEASURING BRAND AWARENESS IN A RANDOM UTILITY MODEL

Advances in Complex Systems ◽

10.1142/s0219525917500047 ◽

2017 ◽

Vol 20 (02n03) ◽

pp. 1750004

Author(s):

PIERFRANCESCO DOTTA ◽

MARCO TOLOTTI ◽

JORGE YEPEZ

Keyword(s):

Real Data ◽

Random Utility Model ◽

Brand Awareness ◽

Random Utility ◽

Suitable Model ◽

Pricing Strategies ◽

Utility Model ◽

Market Shares ◽

Different Levels

Brand awareness is recognized to be an important determinant in shaping the success of durables [13, 16], yet it is very difficult to be quantified. This is exactly the main goal of this paper: propose a suitable model where brand awareness of two competing firms is modeled and, eventually, estimated. To this aim, we build a random utility model for a duopoly where each competitor is characterized by different pricing strategies and brand awareness. As a result, different levels of market shares will emerge at the equilibrium. As a case study, we calibrate the model with real data from the smartphone industry obtaining an estimate of the value of the brand awareness of two leading brands.

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