Exploring the Nexus Between Economic Utility, Perceived Risk, Organizational Characteristics, and Supply Chain Performance
Abstract
:1. Introduction
2. Literature Review
2.1. Organizational Characteristics
2.2. Supply Chain Performance
2.3. Organizational Characteristics and Supply Chain Performance
2.4. Economic Utility
2.4.1. Form Utility
2.4.2. Time Utility
2.4.3. Place Utility
2.4.4. Possession Utility
2.5. Economic Utility and Supply Chain Performance
2.6. Mediating Effect of Economic Utility in the Relationship Between Organizational Characteristics and Supply Chain Performance
2.7. Perceived Risk
2.8. Perceived Risk and Organizational Characteristics
2.9. Perceived Risk and Supply Chain Performance
2.10. Perceived Risk and Economic Utility
2.11. The Moderating Role of Perceived Risk in the Relationship Between Organizational Characteristics and Supply Chain Performance
2.12. Mediation and Moderation in the Organizational Characteristics and Supply Chain Performance Relationship
3. Methodology
3.1. Data Collection and Sampling
3.2. Questionnaire Development
3.3. Measurement
- Organizational Factors:
- ○
- Innovation: Measured via four items: For example, “Our organization encourages innovation in supply chain processes” and “Our organization regularly implements new technologies and processes to improve supply chain performance.”
- ○
- Organizational Culture: Assessed through four items: For example, “Our organization’s culture emphasizes collaboration and teamwork” and “Our organization’s culture supports continuous improvement in the supply chain”.
- ○
- Employee Motivation: An assessment using four items, for example, “Our organization rewards employees for achieving supply chain goals” and “Our employees are highly motivated to perform well in the supply chain.”
- Economic Utility:
- ○
- Form Utility: Captured via four items, for example, “Our products are designed to meet customer needs” and “Our products offer unique features that set them apart from competitors.“
- ○
- Time Utility: Assessed by three items such as “Our products are delivered to customers within the promised timeframe”.
- ○
- Place Utility: Assessed using three items, for example, “Our organization has a wide network of distribution channels ensuring product availability”.
- ○
- Possession Utility: Assessed on three items: “Our organization provides financing options to customers to facilitate purchases.”
- Perceived Risk:
- ○
- Financial Risk: These include items such as “Customers may incur additional costs due to supply chain delays or product defects.”
- ○
- Social Risk: This includes items such as “Negative publicity surrounding our organization may affect supply chain performance and customer satisfaction.”
- ○
- Performance Risk: This is evaluated using items such as “Our organization’s ability to meet customer demand and deliver products on time may affect supply chain performance.”
- ○
- Psychological Risk: This includes statements such as “Supply chain disruptions may affect customers’ mental health or well-being.”
- ○
- Physical Risk: This is measured by items such as “The physical risks associated with supply chain disruptions, such as natural disasters or accidents, can impact performance.”
- ○
- Convenience Risk: These include the statements: “Perceived risk affects the reliability of supply chain operations.”
- Supply Chain Performance:
- ○
- Marketed mainly through key indicators measuring statements like” Our supply chain process is efficient and minimizes delays.” and “Our organization is responsive to changes in customer demand.”
3.4. Data Analysis
4. Statistical Analysis
4.1. Sample Description:
4.2. Validity and Reliability:
4.3. Model Testing:
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Characteristic | Categories | Frequency (n) | Percentage (%) |
---|---|---|---|
Gender | Male | 290 | 75.98% |
Female | 92 | 24.02% | |
Age Group | Less than 20 | 4 | 1.04% |
20–29 years | 102 | 26.63% | |
30–39 years | 100 | 26.11% | |
40–49 years | 111 | 28.98% | |
Over 50 years | 66 | 17.23% | |
Education Level | High School | 8 | 2.09% |
BSc. | 277 | 72.53% | |
Masters | 79 | 20.63% | |
Doctorate | 20 | 5.22% | |
Work Experience | Less than 1 year | 16 | 4.18% |
1–3 Years | 58 | 15.14% | |
4–6 Years | 28 | 7.31% | |
7–10 Years | 33 | 8.62% | |
More than 10 years | 247 | 64.75% |
Cronbach’s Alpha | Composite Reliability | Average Variance Extracted (AVE) | |
---|---|---|---|
Employee motivation | 0.751 | 0.843 | 0.574 |
Form utility | 0.751 | 0.842 | 0.572 |
Innovation | 0.718 | 0.826 | 0.546 |
Organizational culture | 0.756 | 0.845 | 0.578 |
Place utility | 0.796 | 0.879 | 0.709 |
Possession utility | 0.702 | 0.816 | 0.527 |
Risk | 0.977 | 0.978 | 0.502 |
Supply chain performance | 0.932 | 0.943 | 0.649 |
Time utility | 0.762 | 0.851 | 0.592 |
Employee Motivation | Form Utility | Innovation | OC | Place Utility | Possession Utility | Risk | SCP | Time Utility | |
---|---|---|---|---|---|---|---|---|---|
Employee motivation | 1.000 | ||||||||
Form utility | 0.393 ** | 1.000 | |||||||
Innovation | 0.620 ** | 0.325 ** | 1.000 | ||||||
Organizational culture | 0.416 ** | 0.355 ** | 0.362 ** | 1.000 | |||||
Place utility | 0.465 ** | 0.442 ** | 0.289 ** | 0.473 ** | 1.000 | ||||
Possession utility | 0.476 ** | 0.477 ** | 0.409 ** | 0.393 ** | 0.506 ** | 1.000 | |||
Risk | 0.321 ** | 0.489 ** | 0.265 ** | 0.255 ** | 0.230 ** | 0.390 ** | 1.000 | ||
SCP | 0.198 ** | 0.002 | 0.157 ** | 0.195 ** | −0.013 | 0.305 ** | 0.109 * | 1.000 | |
Time utility | 0.498 ** | 0.399 ** | 0.388 ** | 0.310 ** | 0.571 ** | 0.572 ** | 0.270 ** | 0.192 ** | 1.000 |
Original Sample (O) | Sample Mean (M) | Standard Deviation (STDEV) | p Values | |
---|---|---|---|---|
employee motivation -> form utility | 0.011 | 0.010 | 0.050 | 0.819 |
employee motivation -> place utility | 0.180 | 0.183 | 0.071 | 0.011 |
employee motivation -> possession utility | 0.336 | 0.337 | 0.055 | 0.000 |
employee motivation -> time utility | 0.172 | 0.175 | 0.055 | 0.002 |
employee motivation -> supply chain performance | −0.168 | −0.165 | 0.058 | 0.004 |
innovation -> form utility | 0.184 | 0.184 | 0.043 | 0.000 |
innovation -> place utility | 0.112 | 0.108 | 0.068 | 0.102 |
innovation -> possession utility | 0.258 | 0.255 | 0.054 | 0.000 |
innovation -> time utility | 0.211 | 0.209 | 0.060 | 0.000 |
innovation -> supply chain performance | 0.105 | 0.107 | 0.052 | 0.044 |
organizational culture -> form utility | 0.629 | 0.627 | 0.050 | 0.000 |
organizational culture -> place utility | 0.235 | 0.234 | 0.069 | 0.001 |
organizational culture -> possession utility | 0.143 | 0.146 | 0.047 | 0.002 |
organizational culture -> time utility | 0.377 | 0.376 | 0.059 | 0.000 |
organizational culture -> supply chain performance | −0.137 | −0.141 | 0.054 | 0.011 |
form utility -> supply chain performance | 0.090 | 0.098 | 0.057 | 0.119 |
place utility -> supply chain performance | 0.091 | 0.091 | 0.050 | 0.067 |
possession utility -> supply chain performance | 0.010 | 0.012 | 0.061 | 0.867 |
time utility -> supply chain performance | 0.154 | 0.150 | 0.051 | 0.003 |
risk -> supply chain performance | 0.682 | 0.681 | 0.042 | 0.000 |
Moderator between EM and SCP -> supply chain performance | 0.056 | 0.055 | 0.053 | 0.298 |
Moderator between OC and SCP -> supply chain performance | 0.100 | 0.101 | 0.050 | 0.048 |
Moderator between innovation and SCP -> supply chain performance | −0.203 | −0.202 | 0.039 | 0.000 |
Original Sample (O) | Sample Mean (M) | Standard Deviation (STDEV) | T Statistics (|O/STDEV|) | p Values | |
employee motivation -> form utility -> supply chain performance | −0.001 | −0.002 | 0.006 | 0.177 | 0.859 |
innovation -> form utility -> supply chain performance | 0.016 | 0.018 | 0.012 | 1.370 | 0.171 |
organizational culture -> form utility -> supply chain performance | 0.057 | 0.062 | 0.038 | 1.504 | 0.133 |
employee motivation -> place utility -> supply chain performance | 0.017 | 0.017 | 0.011 | 1.499 | 0.135 |
innovation -> place utility -> supply chain performance | 0.010 | 0.009 | 0.008 | 1.239 | 0.216 |
organizational culture -> place utility -> supply chain performance | 0.021 | 0.022 | 0.015 | 1.454 | 0.146 |
employee motivation -> possession utility -> supply chain performance | −0.003 | −0.004 | 0.021 | 0.164 | 0.870 |
innovation -> possession utility -> supply chain performance | −0.003 | −0.003 | 0.016 | 0.164 | 0.870 |
organizational culture -> possession utility -> supply chain performance | −0.001 | −0.001 | 0.009 | 0.163 | 0.871 |
employee motivation -> time utility -> supply chain performance | 0.027 | 0.027 | 0.014 | 1.949 | 0.052 |
innovation -> time utility -> supply chain performance | 0.033 | 0.031 | 0.014 | 2.353 | 0.019 |
organizational culture -> time utility -> supply chain performance | 0.058 | 0.056 | 0.020 | 2.874 | 0.004 |
R Square | R Square Adjusted | Q2 | |
---|---|---|---|
form utility | 0.364 | 0.362 | 0.322 |
place utility | 0.185 | 0.183 | 0.147 |
possession utility | 0.388 | 0.386 | 0.220 |
supply chain performance | 0.673 | 0.664 | 0.424 |
time utility | 0.415 | 0.413 | 0.267 |
Hypothesis | Description | Result |
---|---|---|
H1a | Innovation has a significant impact on supply chain performance. | Supported |
H1b | Organizational culture has a significant impact on supply chain performance. | Not Supported |
H1c | Employee motivation has a significant impact on supply chain performance. | Supported |
H2a | Form utility mediates the relationship between organizational factors and supply chain performance. | Not Supported |
H2b | Time utility mediates the relationship between organizational factors and supply chain performance. | Supported |
H2c | Place utility mediates the relationship between organizational factors and supply chain performance. | Not Supported |
H2d | Possession utility mediates the relationship between organizational factors and supply chain performance. | Not Supported |
H3a | Perceived risk moderates the relationship between innovation and supply chain performance. | Supported |
H3b | Perceived risk moderates the relationship between organizational culture and supply chain performance. | Supported |
H3c | Perceived risk moderates the relationship between employee motivation and supply chain performance. | Not Supported |
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Metwally, A.B.M.; Almulhim, A.; Halim, Y.T.; El-Deeb, M.S. Exploring the Nexus Between Economic Utility, Perceived Risk, Organizational Characteristics, and Supply Chain Performance. Adm. Sci. 2025, 15, 85. https://doi.org/10.3390/admsci15030085
Metwally ABM, Almulhim A, Halim YT, El-Deeb MS. Exploring the Nexus Between Economic Utility, Perceived Risk, Organizational Characteristics, and Supply Chain Performance. Administrative Sciences. 2025; 15(3):85. https://doi.org/10.3390/admsci15030085
Chicago/Turabian StyleMetwally, Abdelmoneim Bahyeldin Mohamed, Abdullah Almulhim, Yasser Tawfik Halim, and Mohamed Samy El-Deeb. 2025. "Exploring the Nexus Between Economic Utility, Perceived Risk, Organizational Characteristics, and Supply Chain Performance" Administrative Sciences 15, no. 3: 85. https://doi.org/10.3390/admsci15030085
APA StyleMetwally, A. B. M., Almulhim, A., Halim, Y. T., & El-Deeb, M. S. (2025). Exploring the Nexus Between Economic Utility, Perceived Risk, Organizational Characteristics, and Supply Chain Performance. Administrative Sciences, 15(3), 85. https://doi.org/10.3390/admsci15030085