| Literature DB >> 34278019 |
Hari Wahyono1, Bagus Shandy Narmaditya1, Agus Wibowo2, Januar Kustiandi1.
Abstract
The Covid-19 pandemic provides severe consequences of economic behavior as an increase of unemployment rates, and providing a new business creation can continue the economic activities. This study explores a functional relationship between irrational behavior, which proxied by loss aversion, the endowment effect, and herd behavior toward the morality of economic among small and medium enterprises (SMEs), as well as the mediating role of altruism in the perspectives of behavioral economics. The research involved a quantitative survey and cross-sectional data with a sample of 288 SMEs in East Java of Indonesia. Using structural equation modeling, the findings reveal that the endowment effect and herd behavior have a robust relationship with economic morality. This study also notes that altruism has a positive link with economic morality, and it has successfully mediated the irrational behavior of SMEs in Indonesia. In addition, the marketing strategy also distinguishes altruism's impact on morality economic.Entities:
Keywords: Altruism; Endowment effect; Herd behavior; Morality economic; Small and medium enterprises
Year: 2021 PMID: 34278019 PMCID: PMC8264110 DOI: 10.1016/j.heliyon.2021.e07400
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
The sample distribution.
| No | City/Municipalities | Marketing Strategy | Total | |
|---|---|---|---|---|
| Online | Offline | |||
| 1. | Tulungagung | 22 | 24 | 46 |
| 2. | Jember | 25 | 25 | 50 |
| 3. | Magetan | 26 | 22 | 48 |
| 4. | Lamongan | 22 | 24 | 46 |
| 5. | Malang | 24 | 22 | 46 |
| 6. | Surabaya | 28 | 24 | 52 |
| Total | 147 | 141 | 288 | |
Research instrument.
| No | Variable | Indicator | Source | |
|---|---|---|---|---|
| 1. | Loss Aversion (X1) | 1 | Sensitivity to risk of loss (X1.1) | |
| 2 | Optimism for the future of the business (X1.2) | |||
| 3 | Trust in co-workers (X1.3) | |||
| 4 | Careful viewing of business opportunities (X1.4) | |||
| 2. | Endowment Effect (X2) | 1 | Awards for assets and business achievements (X2.1) | |
| 2 | Assessment of the product produced (X2.2) | |||
| 3 | The objectivity of the competitor's product assessment (X2.3) | |||
| 4 | The drive to change (X2.4) | |||
| 3. | Herd Behavior (X4) | 1 | Tendency to imitate (X4.1) | |
| 2 | The drive to be different (X4.1) | |||
| 3 | Follow-along trend (X4.1) | |||
| 4 | Encouragement to follow business trends (X4.1) | |||
| 4. | Altruism (Y2) | 1 | Cooperation (Y2.1) | |
| 2 | Sharing (Y2.2) | |||
| 3 | Help (Y2.3) | |||
| 4 | Generosity (Y2.4) | |||
| 5 | Concern (Y2.5) | |||
| 5. | Economic Morality (Y3) | 1 | Imperative (Y3.1) | |
| 2 | Tolerance (Y3.2) | |||
| 3 | Equivalence (Y3.3) | |||
| 4 | Commitment (Y3.4) | |||
Figure 1Structural Data Analysis Models and hypotheses. Source: Ogaki and Tanaka (2017); Etzioni (2010); Perry (2018); Christ et al. (2010); Kerr et al. (2004); Carrier (2018).
Figure 2Structural equation model results of data analysis.
Test alignment of structural equation model results of data analysis.
| Model Harmony | Coefficient | Criteria | Conclusion |
|---|---|---|---|
| Chi-Square (χ2) | 405.32 | Small (not significant) | Good, approved |
| P-value | 0.148 | ≥0.05 | Good, approved |
| Df | 276 | --- | Good, approved |
| Cmin (χ2/Df) | 1.47 | ≤2.00 | Good, approved |
| RMR (standardized) | 0.075 | ≤0.08 | Good, approved |
| RMSEA | 0.0632 | ≤0.08 | Good, approved |
| GFI | 0.93 | ≥0.90 | Good, approved |
| AGFI | 0.94 | ≥0.90 | Good, approved |
| CFI | 0.96 | ≥0.94 | Good, approved |
| IFI | 0.96 | ≥0.94 | Good, approved |
| NNFI | 0.97 | ≥0.94 | Good, approved |
| AIC (Model) | 135.32 | small, relative | Good, approved |
Manifest of structural equation model forming constructs from data analysis result.
| No. | Variable | Manifest | λ | R2 | T-values |
|---|---|---|---|---|---|
| 1. | LA | X1.1 | 1.15 | 0.05 | 21.84 |
| X1.2 | 1.30 | 0.06 | 22.92 | ||
| X1.3 | 1.86 | 0.09 | 21.26 | ||
| X1.4 | 0.77 | 0.06 | 16.69 | ||
| 2. | EE | X2.2 | 0.96 | 0.06 | 16.07 |
| X2.3 | 3.48 | 0.15 | 22.95 | ||
| X2.4 | 8.97 | 0.51 | 17.49 | ||
| 3. | HB | X4.2 | 1.15 | 0.05 | 22.49 |
| X4.3 | 1.65 | 0.07 | 22.49 | ||
| X4.4 | 1.10 | 0.06 | 19.16 | ||
| 4. | ALT | Y2.2 | 0.59 | 0.05 | 8.12 |
| Y2.3 | 0.54 | 0.04 | 8.16 | ||
| Y2.5 | 0.56 | 0.07 | 8.11 | ||
| 5. | ME | Y3.1 | 0.26 | 0.04 | 6.35 |
| Y3.4 | 0.11 | 0.04 | 3.07 |
Convergent validity and reliability of the composite model of research findings.
| Latent Variables | Manifest | Loading (λ) | (1-e) | Decision | |
|---|---|---|---|---|---|
| LA | X11 | 1.15 | 9.38 | Valid | |
| X12 | 1.31 | 8.06 | Valid | ||
| X13 | 1.85 | 8.31 | Valid | ||
| X14 | |||||
| Composite reliability | 0.69 | Reliable | |||
| EE | X22 | 0.91 | 3.82 | Valid | |
| X23 | 3.58 | 9.94 | Valid | ||
| X24 | 8.84 | 4.76 | Valid | ||
| Com | 0.85 | Reliable | |||
| HB | X42 | 1.15 | 1.35 | Valid | |
| X43 | 1.65 | 1.08 | Valid | ||
| X44 | 1.11 | 1.12 | Valid | ||
| Composite reliability | 0.72 | Reliable | |||
| ALT | Y2.2 | 0.52 | 8.23 | Valid | |
| Y2.3 | 0.62 | 8.35 | Valid | ||
| Y2.5 | 0.56 | 8.21 | Valid | ||
| Composite reliability | 0.78 | Reliable | |||
| ME | Y3.1 | 0.47 | 6.84 | Valid | |
| Y3.4 | 0.39 | 6.52 | Valid | ||
| Composite reliability | 0.73 | Reliable | |||
The direct and indirect effects.
| No | Hypothesis | The Coefficient Impact | T-values | Decision | ||||
|---|---|---|---|---|---|---|---|---|
| Direct | Indirect | Total | ||||||
| 1. | LA | → | ALT | 0.30 | - | 0.30 | 2.51 | Significant |
| 2. | LA | → | ME | 0.09 | - | 0.09 | 0.88 | Not Significant |
| 3. | EE | → | ALT | -0.38 | - | -0.38 | -2.68 | Significant |
| 4. | EE | → | ME | -0.29 | - | -0.29 | -2.57 | Significant |
| 5. | HB | → | ALT | 0.03 | - | 0.03 | 0.32 | Not Significant |
| 6. | HB | → | ME | 0.36 | - | 0.36 | 4.52 | Significant |
| 7. | ALT | → | ME | 0.50 | - | 0.50 | 6.35 | Significant |
| 8. | LA | ALT | ME | 0.30 | 0.50 | 0.80 | 8.86 | Significant |
| 9. | EE | ALT | ME | -0.38 | 0.50 | 0.12 | 3.67 | Significant |
| 10. | HB | ALT | ME | 0.03 | 0.50 | 0.53 | 6.67 | Significant |
Figure 3The graph of the regression equation for SMEs' online and offline marketing methods.