International Journal of Knowledge Processing Studies
Volume:3 Issue: 1, Winter 2023

This research aims to explain the organizational ambidexterity model in Saderat Bank of Iran and its dimensions. Ambidexterity refers to the ability to succeed in two contradictory abilities at the same time, for example, ambidexterity such as exploiting current opportunities and discovering and creating new opportunities for the future, adaptation, alignment, flexibility, and efficiency. This research was conducted using a qualitative-inductive approach using the Strauss-Corbin grounded theory method. The data were obtained from the interviews conducted with 25 employees and qualified professionals of Saderat Bank of Iran and were analyzed through the three stages of open, central, and selective coding. Twelve general categories in the form of a paradigm model were identified, which included causal conditions (individual factors, organizational factors, group factors, and environmental factors), central phenomenon (organizational ambidexterity), contextual conditions (intellectual capital), intervening conditions (job-related factors, learning factors), strategies (individual strategy, organizational strategy) and consequences (individual consequences, group consequences, organizational consequences). Ambidexterity can increase the scope and depth of knowledge identified and used by the organization by focusing on two levels of knowledge: 1. paying attention to new knowledge due to its discovery capability and, 2. paying attention to current knowledge due to its exploitation capability. It can also help the development culture of learning and intelligence and enhance competitiveness.

This research aimed to improve organizational efficiency in Iran's administrative system based on knowledge-based human resource management. The research was conducted using mixed methods. The grounded theory was used in the qualitative part, and in the quantitative part, the structural equation model with partial least squares approach was used. In the qualitative part, the statistical population, according to its subject area, included 10 elites and experts of the telecommunications company. Their opinions were collected using semi-structured interviews. The interviews were entered into the ATLAS TI software.  To fit the model, a questionnaire was designed using the identified codes. In the quantitative part of the current research, in addition to the elites of the telecommunications company, some members of top managers (15 people) from twenty units of the telecommunications company in the country were also added to the statistical population. According to the statistical population of 600 people, the studied sample included 234 people calculated based on Morgan's table. The information collected from the questionnaires was analyzed using SMARTPLS 3 software. Based on the analysis of the identified codes, a model with causal, strategy, consequence, intervention, and contextual components was determined. Also, in the structural equation model analysis, the model was confirmed. The results indicated that to increase organizational efficiency, managers should localize knowledge-based human resource management practices in organizations. In addition, it is important to impart appropriate knowledge, training, and expertise to employees so that they feel motivated and highly skilled in their jobs.

Digital content marketing is an example of new communication and online approaches that is expanding and penetrating among its users. This type of marketing is a process to create high-quality and valuable content to guide customers and introduce your brand and attract customers. The current research seeks to identify the knowledge components effective on the antecedents and consequences of effective digital content marketing to facilitate knowledge acquisition. In the present study, by using the systematic review and meta-synthesis approach, the results and findings of previous researchers by performing the 7 steps of the Sandelowski and Barroso method have been analyzed, and the knowledge components that are effective on the antecedents and consequences of effective digital content marketing have been. To measure reliability and quality control, the Kappa method was used, and its value was identified for the indicators at the level of excellent agreement. The results in the Max Qda software led to the identification of 38 knowledge areas containing consequences in the form of seven components and two general dimensions and 21 knowledge areas containing the antecedents of effective digital content marketing in the form of four components and two general dimensions. Finally, the customer's behavioral engagement with the brand was identified as the indicator with the highest frequency among the consequences and attention to the characteristics of the audience as the indicator with the highest frequency among the antecedents of effective content marketing, and the knowledge obtained from them helps the field of digital content marketing.

This research aims to design a model of customer-seller interactions on knowledge acquisition about the acceptance of misbehavior by customers. The current study is an applied-developmental study in terms of its purpose, and it is cross-sectional survey research in terms of the method and data collection. A semi-structured interview and a Likert scale questionnaire were used to collect the data. The statistical population in the qualitative section includes experts and specialists in the gold and jewelry industry. Ten experts were selected for qualitative part sampling using purposive sampling. 384 people were chosen as the statistical sample calculated based on Cochran's table with an error ratio of 0.1. To analyze the data, Atlas ti and SMARTPLS software were used to identify the research indicators and to validate and present the final model. Using the grounded theory model 6 categories were identified with, 23 core codes, and 151 primary codes. In this research, the six categories of individual factors, individual awareness, leisure management, inflexibility of decision-making, store conditions, and social conditions were considered as causal conditions. 4 strategies and 5 consequences were also identified. The creation of this model requires a plan or program in which the managers and transitional experts who want to present the model must consider identifying, the mobility and dynamics of the customer, culture building, customer orientation, and business strategies. If the customer loyalty model is implemented, stability in customer relations with the product and social media, beneficial word of mouth and viral advertising, customer satisfaction, and purchase intention will improve.

This research aims to investigate managing information and planning for the participation of health charities. With the Covid-19 outbreak, it was important to use information systems to optimize health management. The correct processing of information is the basis for better use of health charities’ participation. Using the snowball technique, and semi-structured interviews, 47 experts and non-experts in Fars province were asked for their opinions. Next, based on the fuzzy network analysis, important factors were prioritized. Four categories and 8 important criteria were identified. To prioritize the effective aspects of the participation of health charities in Fars province, a network analysis technique was used via MATLAB software. Strategy and programs with a normal weight of 0.34 showed the highest priority. Research and education with a normal weight of 0.26 received the second priority. Laws and regulations with a normal weight of 0.24 were placed as the third priority. Based on the obtained results, creating strategy and planning, training and building culture in this field, ease of rules and regulations as well as planning of financial resources play an important role in managing the participation of health donors. With precise planning of health programs, donors see the transparency of decisions. They check the part that needs financing and equipment completion. Because the quality of plans and programs, the effectiveness and efficiency of strategies, and the quality of results depend on the decisions made by donors.

This study aims to design an electronic supply chain management model to achieve a world-class home appliance industry. This is a mixed methods research and developmental applicative in terms of its purpose. To provide the theoretical foundations, articles, books, and reliable sources available to the researcher have been studied. The statistical sample consists of experts in home appliance manufacturing industries and professors and researchers in the field of world-class production. The sampling method is purposeful using Dimetal techniques and the interpretive structural model. In this research, 15 indicators were identified including electronic infrastructure, core technology, electronic procurement, electronic management of communication with suppliers, information flow, supply chain speed, ability to resist threats, relying on internal capacity, cost, waiting for time, flexibility, sales service, after-sales service, meeting customer expectations and world-class quality. The results indicated that based on the interpretive structural model designed (at three levels of infrastructure, sales, after-sales services, and world-class quality), the low-level components of electronic infrastructure, core technology, electronic procurement, and electronic management of communication with the supplier have the greatest impact. In line with the research findings, suggestions are made for improving the studied industry to reach the world-class in the future.