| Literature DB >> 35645908 |
Honglei Tang1, Zeeshan Rasool2,3, Muhammad Sarmad4, Ammar Ahmed5, Umair Ahmed6.
Abstract
The study examines and theorizes the importance of strategic attribute constructs (strategic orientation, organizational culture, and organizational internal market orientation) as applied to Pakistan's banking sector by identifying their roles in enhancing organizational performance and the mediating effect of organizational commitment. The current study adopted quantitative research designs and methods to determine structural relationships between the proposed constructs. A total of 10 hypotheses were tested underpinned by the Resource-Based View of the Firm and Social Exchange theories. The strategic attributes studied were significantly and positively related to, and enhance, organizational performance if the banks: (1) focus on strategic positioning, (2) fostering a strong organizational culture, (3) strategize internal marketing practices, and (4) boost organizational commitment. The findings supported the mediating role of organizational commitment between strategic attributes and organizational performance. This study contributes to existing literature and supports prior research while filling in gaps in the literature concerning developing countries.Entities:
Keywords: organizational commitment (OCO); organizational culture (OCU); organizational internal market orientation (IMO); organizational performance (OP); strategic orientation (SO)
Year: 2022 PMID: 35645908 PMCID: PMC9133961 DOI: 10.3389/fpsyg.2022.855910
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Loadings, composite reliability, and average variance extracted.
| Latent constructs and indicators | Loadings | (AVE) | (CR) |
| Strategic orientation | 0.571 | 0.889 | |
| SO1 | 0.761 | ||
| SO2 | 0.784 | ||
| SO3 | 0.786 | ||
| SO4 | 0.786 | ||
| SO5 | 0.725 | ||
| SO6 | 0.689 | ||
| Organizational culture | 0.591 | 0.961 | |
| OC1 | 0.781 | ||
| OC10 | 0.765 | ||
| OC11 | 0.794 | ||
| OC12 | 0.806 | ||
| OC13 | 0.791 | ||
| OC14 | 0.773 | ||
| OC15 | 0.791 | ||
| OC16 | 0.677 | ||
| OC18 | 0.646 | ||
| OC2 | 0.813 | ||
| OC3 | 0.806 | ||
| OC4 | 0.764 | ||
| OC5 | 0.798 | ||
| OC6 | 0.775 | ||
| OC7 | 0.769 | ||
| OC8 | 0.761 | ||
| OC9 | 0.744 | ||
| Internal Market orientation | 0.651 | 0.881 | |
| IMO1 | 0.715 | ||
| IMO2 | 0.839 | ||
| IMO3 | 0.866 | ||
| IMO4 | 0.799 | ||
| Organizational commitment | 0.631 | 0.922 | |
| OCT1 | 0.667 | ||
| OCT2 | 0.742 | ||
| OCT3 | 0.841 | ||
| OCT4 | 0.861 | ||
| OCT5 | 0.855 | ||
| OCT6 | 0.786 | ||
| OCT7 | 0.790 | ||
| Organizational performance | 0.509 | 0.930 | |
| OP1 | 0.551 | ||
| OP10 | 0.762 | ||
| OP11 | 0.756 | ||
| OP12 | 0.774 | ||
| OP13 | 0.784 | ||
| OP2 | 0.609 | ||
| OP3 | 0.521 | ||
| OP4 | 0.672 | ||
| OP5 | 0.696 | ||
| OP6 | 0.764 | ||
| OP7 | 0.757 | ||
| OP8 | 0.791 | ||
| OP9 | 0.762 |
HTMT correlation matrix for discriminant validity.
| IMO | OC | OCT | OP | SO | |
|
| |||||
| Org. culture | 0.543 | ||||
| Org. commitment | 0.668 | 0.820 | |||
| Org. performance | 0.566 | 0.600 | 0.642 | ||
| Str. orientation | 0.802 | 0.664 | 0.832 | 0.614 | – |
Hypotheses testing.
| Hypothesis | Relationship | Standard beta | Standard error | Decision | LL | UL | ||
| H1 | SO → OP | 0.129 | 0.078 | 1.656 | 0.049 |
| 0.023 | 0.269 |
| H2 | OCU → OP | 0.263 | 0.092 | 2.870 | 0.002 |
| 0.084 | 0.392 |
| H3 | IMO → OP | 0.000 | 0.048 | 0.003 | 0.499 | No | 0.000 | 0.000 |
| H4 | SO → OCO | 0.397 | 0.054 | 7.411 | 0.000 |
| 0.312 | 0.482 |
| H5 | OCU → OCO | 0.493 | 0.047 | 10.456 | 0.000 |
| 0.417 | 0.571 |
| H6 | IMO → OCO | 0.070 | 0.048 | 1.453 | 0.073 |
| 0.007 | 0.163 |
| H7 | OCO → OP | 0.200 | 0.104 | 1.919 | 0.028 |
| 0.040 | 0.388 |
| H8 | SO → OCO → OP | 0.079 | 0.039 | 2.02 | 0.044 |
| 0.005 | 0.161 |
| H9 | OCU → OCO → OP | 0.098 | 0.048 | 2.029 | 0.043 |
| 0.008 | 0.202 |
| H10 | IMO → OCO → OP | 0.014 | 0.014 | 1.025 | 0.306 | No | –0.005 | 0.047 |
FIGURE 1Research model.
Profile of respondents.
| Characteristics | Frequency | Percentage |
|
| ||
| Male | 197 | 75.8 |
| Female | 63 | 24.2 |
|
| ||
| 21–30 Years | 77 | 29.6 |
| 31–40 Years | 81 | 31.2 |
| 41–50 Years | 78 | 30.0 |
| 51–60 Years | 24 | 9.2 |
|
| ||
| Bachelor | 60 | 23.1 |
| Masters | 26 | 10.0 |
| Banking diploma | 169 | 65.0 |
| Non-banking qualification | 5 | 1.9 |
|
| ||
| Branch Manager | 260 | 100 |