International Journal of Innovation Management and Organizational Behavior (IJIMOB)

Providing an Analytical Model of the Relationship Between Advertising Content Risks and Behavioral Intention in Social Networks

Mahmoud Reza Modarresi

; Mahsa Akbari *

; Younos Vakil Alroaia

Objective: The objective of this study is to examine how various risks affect consumers' reactions and purchase intentions in social media advertising.

Methodology: The research employed a mixed-method approach. Initially, Interpretive Structural Modeling (ISM) was used to identify relationships between risks, followed by Structural Equation Modeling (SEM) using SMART PLS to test these relationships quantitatively. Data were collected through a cross-sectional survey of social media users, and the relationships between identified risks were analyzed.

Findings: The results show that "environmental risk," "technology risk," "product risk," and "security and privacy risk" influence "operational risk." Moreover, operational risk positively affects "content risk," which in turn influences "functional risk." "Functional risk" negatively impacts consumers' behavioral intentions to purchase, while content risk undermines the credibility of ads, diminishing their perceived functionality and value. Findings support the theoretical literature on risks in online advertising and consumer behavior.

Conclusion: The study concludes that managing advertising risks, particularly content, functional, and operational risks, is crucial for enhancing consumer trust and purchase intentions. Marketers should focus on transparent ad content, secure payment systems, and addressing product information risks to mitigate the impact of these risks. Future research should explore additional variables, such as trust and commitment, to provide a more comprehensive understanding of risk perceptions in social media advertising.

The Impact of Digital Transformation on New Product Development with the Mediating Role of Organizational Intelligence

Hamidreza Oghabneshin

; Kiamarth Fathi Hafshejani *

; Mahmoud Modiri

, Seyed Alireza Derakhshan

https://doi.org/10.61838/

Objective: This article aims to investigate the impact of digital transformation on new product development (NPD) with the mediating role of organizational intelligence.

Methods and Materials: The research employs a descriptive-correlational design, utilizing questionnaires and field studies to collect data from 100 experts in the rubber manufacturing industry, specifically from Barez and Artavil Tire companies. Confirmatory factor analysis (CFA) was used to assess the validity of the questionnaire, with structural equation modeling (SEM) conducted using Smart PLS software to test the hypotheses. The reliability and validity of the constructs were evaluated through composite reliability (CR), average variance extracted (AVE), and discriminant validity measures.

Findings: The study found that digital transformation significantly affects NPD performance (path coefficient = 0.586, t-value = 9.849), and organizational intelligence strongly mediates this relationship (path coefficient = 0.817, t-value = 12.838). Additionally, digital transformation directly enhances organizational intelligence (path coefficient = 0.296, t-value = 2.865). The R² value for NPD was 0.717, and for organizational intelligence, it was 0.688, indicating strong explanatory power.

Conclusion: Digital transformation significantly impacts NPD success, particularly when supported by high levels of organizational intelligence. Companies that invest in digital infrastructure and knowledge management systems are better equipped to handle the complexities of NPD, leading to more innovative and competitive products. Organizational intelligence serves as a key enabler in leveraging digital tools for successful product development.

Designing a Paradigmatic Model of Nostalgic Emotions and Preferences of Sports Consumers with a Grounded Theory Approach

Ali Nejat ; Jasem Manouchehri *

; Ali Zarei

https://doi.org/10.61838/

Objective: The aim of this research was to design a model of nostalgic emotions and preferences of sports consumers using the grounded theory approach.

Methodology: This research is qualitative in nature and applied-developmental in its aim. The participants in the study included academic experts in the field of sports marketing management, managers and executive marketers of sports organizations, and 22 relevant scientific articles, selected for interviews through theoretical sampling. Data analysis was conducted over more than three rounds of interviews until reaching theoretical saturation and consensus on identifying constructs, categories, concepts, and indicators within six constructs: causal conditions, the central and core phenomenon, strategies, contextual and intervening conditions, and outcomes, following the systematic model of Strauss and Corbin.

Findings: At the open coding stage, 180 indicators (initial concepts) were identified. In axial coding, considering the semantic proximity of the identified concepts, 160 secondary concepts and 31 categories were classified into four main axes (drivers, barriers, stimulants, and requirements) through selective coding, within the six constructs of the Strauss and Corbin paradigmatic model.

Conclusion: The results of the study can enhance the awareness of sports marketing managers regarding the optimal development of nostalgic dimensions of sports products and the preferences of sports consumers.

Discovering the Components of an Efficient Administrative System with a Focus on the Jihadi Management Approach and Organizational Justice in the Social Security Organization

Hamid Rezazadeh ; Alireza Aliahmadi * ; Mahdi Abdolhamid , Seyyede Ashraf Mousavi Loghman

https://doi.org/10.61838/

Objective: The objective of this study is to discover the components of an efficient administrative system that also incorporates elements of jihadi management and organizational justice.

Methodology: The philosophy of this research is interpretive, the approach is qualitative, the strategy is grounded theory with an emergent approach, and the analysis method is thematic analysis based on Glaserian coding. The study population consists of the managers of the Social Security Organization in Kerman province, which was selected as the statistical population. The sample includes 21 individuals with at least 10 years of relevant work experience and comprehensive knowledge of administrative efficiency processes. Data were collected through semi-structured interviews, and theoretical sampling was employed to select participants. The reliability of the findings (validity and reliability) was ensured using the four criteria proposed by Guba and Lincoln, including credibility, transferability, dependability, and confirmability.

Findings: The findings revealed 15 components and 80 categories. These components include administrative efficiency, an efficient culture, organizational justice, corruption control, commitment to jihadi values, high productivity, service quality, transparency and accountability, innovation and continuous improvement, jihadi management, performance management, governance, fair laws, fair behavior, and fair evaluation.

Conclusion: The results indicated that these dimensions and components can be considered as the most important criteria for evaluating administrative efficiency and ultimately creating efficiency in the administrative system.

Presenting a Citizenship Model for Cultural and Social Development of Virtual Space Users among Tehran Citizens

Seyed Abdol Reza Hoseini

, Nader Sadeghi Lavasani * , Ruhollah Ahmadzadeh Kermani

https://doi.org/10.61838/

Objective: The objective of this study is to present a citizenship model for cultural and social development of virtual space users among Tehran citizens.

Methods and Materials: The study employs a structural equation modeling (SEM) approach using the Partial Least Squares (PLS) method. A researcher-designed model was tested with data collected from 384 participants. The model evaluates the relationships between structural, behavioral, and contextual variables as well as their effects on citizen awareness and effective civic engagement. The Stone-Geisser Q² index and the goodness of fit (GOF) index were used to assess the model's predictive relevance and overall performance, respectively. Data were analyzed using Smart-PLS software, and significance was determined based on t-statistics with a confidence level of 95%.

Findings: Out of 15 tested hypotheses, 10 were confirmed. The results show that optimal structural, behavioral, and contextual conditions significantly impact the creation of platforms for enhancing citizen awareness in urban social development. However, the study found no significant mediating effect of internal and external factors between certain variables, such as the relationship between structural conditions and the improvement of citizen awareness. The model’s GOF value of 0.368 indicates good overall model performance.

Conclusion: The findings suggest that structural, behavioral, and contextual conditions play a crucial role in fostering citizen awareness and engagement in virtual spaces. External factors, such as job opportunities and media influence, have a significant moderating effect on citizen engagement, while internal factors show no significant moderating role. Future research should explore further interactions between these variables.

Designing a Model for Implementing Technologies in Insurance: A Qualitative Study

Mehdi Haddad Oskouee

; Samad Aali *

; Morteza Honarmand Azimi

, Mohammad Pasban

https://doi.org/10.61838/kman.ijimob.3.1.24

Objective: The primary objective of this study is to present a paradigmatic model for the adoption and utilization of insurance technologies (InsurTech) in domestic insurance companies with a special emphasis on open innovation.

Methodology: This qualitative research utilized a grounded theory approach. Data were collected through semi-structured interviews with 12 experts, including university professors in the field of insurance, senior managers of insurance companies, stakeholders, and policyholders. Theoretical sampling was used, and the interviews continued until theoretical saturation was reached. Data analysis involved three stages of coding: open coding, axial coding, and selective coding, using MAXQDA software. In total, 150 open codes, 21 category codes, and 6 final axial codes were identified.

Findings: The results revealed that the adoption and utilization of insurance technologies in domestic insurance companies are influenced by several main components, including knowledge management, behavioral factors, practical factors, infrastructure, technology perception, and managerial factors. The study also highlighted the significance of open innovation in accelerating the transformation of the insurance industry. The findings are consistent with previous studies by Sionani et al. (2023), Wang (2021), and Kuitanovich (2021), which emphasize that technology adoption is a multi-dimensional phenomenon influenced by perceptions, attitudes, beliefs, and engagement levels of individuals and organizations.

Conclusion: This study concludes that the adoption of insurance technologies, supported by open innovation, is essential for the digital transformation of the insurance sector. Factors such as managerial behavior, customer engagement, technological infrastructure, and knowledge management play critical roles in the successful implementation of these technologies.

Identifying Factors Affecting the Pricing of Housing Facility Bonds

Falah Doostan Asl

; Arash Hadizadeh Miyarkolaee *

; Amir Mohammadzadeh

https://doi.org/10.61838/

Objective: The objective of this study is to identify the financial and non-financial factors influencing the pricing of housing facility bonds at the Housing Bank of Iran.

Methodology: The study utilizes a qualitative research approach, employing the Delphi technique in two rounds. Seven experts and specialists from the Housing Bank were selected based on their expertise in bond pricing. Data were collected through note-taking and semi-structured interviews. The analysis was conducted by coding and categorizing the extracted concepts into four primary indices. Kendall’s coefficient of concordance was used to measure consensus among experts.

Findings: The analysis identified 35 key components grouped into four indices—fluctuations, restrictions, market, and technical factors. The main drivers of bond pricing fluctuations include increased demand for construction loans without deposits, consumer demand for home purchases using loan bonds, and a rise in real estate investors seeking housing facility bonds. Factors such as interest rate fluctuations, housing market expectations, and seasonal effects were also found to significantly impact bond prices.

Conclusion: The study concludes that fluctuations, restrictions, market conditions, and technical factors are critical in determining housing facility bond prices for corporate clients at the Housing Bank. It is recommended that the bank adopt a combined method of artificial neural networks, genetic algorithms, and logistic regression to forecast bond pricing based on these indices. Additionally, developing financial instruments based on housing facility bonds can improve pricing accuracy in the capital market.

Validation of the "Charles Handy Organizational Culture Questionnaire" in the Fire Department of Karaj

Leila Javaheri

; Khadijeh Amoei Dizaji *

; Roghayeh Shahani Shalamani

https://doi.org/10.61838/

Objective: This study aimed to translate and psychometrically evaluate the "Charles Handy Organizational Culture Questionnaire" in the Fire Department of Karaj.

Methodology: The study employed a validation research design, using a sample of 294 employees and personnel of the Karaj Fire Department in 2021, selected through simple random sampling. The original English version of the questionnaire was translated into Persian, and exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to assess the construct validity. Internal consistency was evaluated using Cronbach’s alpha.

Findings: Exploratory factor analysis revealed two main components, "Organizational Preferences" and "Personal Preferences," explaining 65% of the total variance. The Cronbach’s alpha coefficients were 0.81 for organizational preferences and 0.88 for personal preferences, indicating acceptable internal consistency. Confirmatory factor analysis supported the two-factor structure of the questionnaire, with all fit indices showing a good model fit.

Conclusion: The Persian version of the "Charles Handy Organizational Culture Questionnaire" was found to have acceptable validity and reliability, making it a suitable tool for assessing organizational culture in Iranian organizations, particularly in the fire department context.

About the Journal

IJIMOB publishes four issues per year (Quarterly), with occasional special issues coming in addition.

ISSN: 3041-8992
Director in Charge: Sepehr Khajeh Naeini
Editor-in-chief: Dr. Yus Nugraha
Owner: KMAN Research Institute
Publisher: KMAN Publication Inc. (KMANPUB)
Email: [email protected] / [email protected]
Open Access: YES

International Journal of Innovation Management and Organizational Behavior (IJIMOB) is a scientific open access peer-reviewed journal. The primary purpose of the International Journal of Innovation Management and Organizational Behavior (IJIMOB) is to publish scholarly research articles in the fields of Management and Organizational Behavior. As an official journal of the KMANPUB, the IJIMOB is recognized as an instrument for projecting and supporting the goals and objectives of this organization, which include scholarly research and the free exchange of ideas. IJIMOB appreciates original articles, review articles, short-papers, and conceptual papers research on all aspects of Innovation Management and Organizational Behavior.