Sara Sabaghchi; Sepehr Ghazinoory; Fatemeh Saghafi; صحرایی Sahraei
Abstract
The emergence of a wide range of digital technologies has fundamentally changed the nature, process and outcomes of innovation. Researchers emphasize the distinction between digital innovation and traditional innovation and consider it necessary to theorize in this field due to the novelty of the concept ...
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The emergence of a wide range of digital technologies has fundamentally changed the nature, process and outcomes of innovation. Researchers emphasize the distinction between digital innovation and traditional innovation and consider it necessary to theorize in this field due to the novelty of the concept of digital innovation. In this research, in an inductive way with the aim of conceptualizing and identifying the main dimensions of digital innovation in industrial organizations, first, using the systematic literature review approach, related articles were examined in the period from 2014 to 2022, and 48 articles were selected for analysis. Then, using the grounded theory approach, open, axial, and selective coding procedures were performed. According to this, the main dimensions of digital innovation were categorized in the form of a paradigm model include causal factors (13 categories under the 4 main dimensions of digital industrial platform and technology management, digital innovation ecosystem management, intelligent processes, digital structure and organization), contextual factors, intervening factors, strategies, and consequences. Also, by reviewing the definitions and identified dimensions, a novel definition for digital innovation in industrial organizations was presented. The resulting theoretical framework, in addition helping further conceptualization of this phenomenon, can be used in the design of organizations' digital innovation maturity models.
Fatemeh Saghafi; Mohammad Reza Taghizadeh Yazdi; Sedighe Rezaeian Fardoie; Mansoureh Hourali; Banafsheh Khani
Abstract
Given the importance of service delivery speed and material handling in the perishable food supply chain, the use of the IOT transformation technology can provide a competitive advantage for manufacturing firms. Recently, some food companies have started using IOT technology in their supply chains. Background ...
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Given the importance of service delivery speed and material handling in the perishable food supply chain, the use of the IOT transformation technology can provide a competitive advantage for manufacturing firms. Recently, some food companies have started using IOT technology in their supply chains. Background review showed that three categories of technological, organizational and environmental factors can affect supply chain performance. Therefore, the purpose of this study is to investigate these three factors on the process of the perishable food supply chain based on IOT. First, by reviewing supply chain processes, a 5-step process was selected as the comprehensive process. Then the dimensions of these factors became from the literature and the conceptual model of the research was drawn by combining the effect of these factors on the supply chain process. The information was obtained through the distribution of a 24-item questionnaire among 203 managers of food production units as a research community and was analyzed by correlation analysis and structural equation modeling. The analysis unit of the Department of Spicy Food is that it uses levels of IOT. The results showed that environmental factors as a whole and technological factors affect the sustainable food supply chain from 4 dimensions. But organizational factors were not confirmed in 3 hypotheses. This will be a warning for managers who are interested in their companies being successful.
Fatemeh Saghafi; Ahmad Jafarnejad; Manochehr Manteghi; Seyyed Javad Mousavo
Abstract
The use of ecosystem metaphor in different branches of management, business, innovation and entrepreneurship, are growing increasingly. The evolution property of ecosystems has highlighted. The aim of this study is to identify the stages of the evolution of business ecosystems. The major of previous ...
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The use of ecosystem metaphor in different branches of management, business, innovation and entrepreneurship, are growing increasingly. The evolution property of ecosystems has highlighted. The aim of this study is to identify the stages of the evolution of business ecosystems. The major of previous studies about ecosystem’s evolution are based on case studies and affected by context. Then they are not generalizable. In this study we present a comprehensive model for evolution stages of industrial business ecosystems by qualitative Meta synthesis approach. 16 studies are identified by literature review that they were about evolution stages. Then 105 codes were extracted and translated in 19 conceptions and a 4 stages model was presented. This model, by highlighting the value chain and industrial platforms, is a good model for industrial business ecosystems. Also industrial researchers can use it to design a pattern for a special industrial ecosystem, or they can use it for studying and evaluating of the existent industrial ecosystems.
Nozar Ebrahimi Lame; Fatemeh Saghafi; Majid Gholipour
Abstract
Recommendation systems are one of the most essential tools for e-commerce intelligence. These systems with different types of data filtering methods are able to offer the best recommendations from a multitude of selectable items. Collaborative Filtering is the most widely used method of filtering data ...
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Recommendation systems are one of the most essential tools for e-commerce intelligence. These systems with different types of data filtering methods are able to offer the best recommendations from a multitude of selectable items. Collaborative Filtering is the most widely used method of filtering data to make recommendations. One of the advanced models for predicting ratings in the Collaborative Filtering is the Singular Value Decomposing (SVD). In this paper, an optimized model of the film recommending system based on the SVD method is developed, which while reducing the dimensions of the matrices and the volume of computations and memory, and with iteration replacement method, has appropriate accuracy compared with other methods. For this research, a set of 100k Movie Lens datasets and Python programming have been used. Evaluation of error rate with root mean square error (RMSE) and mean absolute error (MAE) value shows a good improvement over similar methods in other references.vv
Fatemeh Saghafi; Mansoureh Hourali; Mohammad Eslami
Abstract
The Present Age is known as the age of knowledge while knowledge-based economy is emerging. So using and developing knowledge management in these circumstances is necessary. Being success in applying knowledge management requaires knowledge management maturity evaluation. This evaluation helps identifying ...
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The Present Age is known as the age of knowledge while knowledge-based economy is emerging. So using and developing knowledge management in these circumstances is necessary. Being success in applying knowledge management requaires knowledge management maturity evaluation. This evaluation helps identifying and passing the barriers within knowledge management. There are several models suitable in evaluating knowledge management maturity and we must choose among them. In these models various dimensions have been considered for maturity while all dimensions have an equal weight meanwhile differences among organizations are almost neglected. In this research after finding the basic framework, FANP method has been used and by polling expert opinion the ellements of framework were localized for Ansar Bank while different weights allocated through its dimensions. Finally localized framework has been presented in 5 levels and 54 dimensions in order to set priorities within each layer. This could lead to greater accuracy in determining the banks maturity due to environmental conditions. This method can be used for localizing the evaluation of knowledge management maturity in other organizations.
