| Literature DB >> 35754704 |
Marvello Yang1, Norizan Jaafar2, Abdullah Al Mamun3, Anas A Salameh4, Noorshella Che Nawi5.
Abstract
Economic sustainability involves the development of an organisation that meets its future needs through an integrated policy, planning, and social learning process. The purpose of this study was to investigate the mediating role of competitive advantage in the relationship between strategic orientation and economic sustainability under unpredictable circumstances. This study collected quantitative data from a total of 284 halal small and medium enterprises (SMEs) from Indonesia through structured interviews. Data were analysed using partial least squares structural equation modelling (PLS-SEM). Moreover, this study adopted artificial neural network (ANN) analysis for a model-free estimation using non-linear, multilayer, and parallel regression. The results revealed statistically significant and positive effect of strategic orientation on economic sustainability. Additionally, this study found that competitive advantage expanded the effect of strategic orientation on economic sustainability. Findings of ANN analysis confirm high prediction accuracy of the model. Findings of the sensitivity analysis highlighted the importance of innovation, network and technological orientation, and the positive effect of competitive advantage on halal SMEs economic sustainability. In order to achieve long-term economic sustainability, halal SMEs should therefore focus on innovation capacity, vertical and horizontal networking and adoption of the latest technologies. The uniqueness of this study focused on the strategic orientation and value of competitive advantage of halal SMEs towards economic sustainability. Additionally, this study was the first to develop hybrid SEM-neural network analysis to apply sensitivity analysis for the evaluation of the contribution of each exogenous predictor towards the endogenous construct.Entities:
Keywords: Competitive advantage; Competitor orientation; Consumer orientation; Economic sustainability; Innovation orientation; Network orientation; Technology orientation
Year: 2022 PMID: 35754704 PMCID: PMC9209843 DOI: 10.1186/s13731-022-00232-5
Source DB: PubMed Journal: J Innov Entrep ISSN: 2192-5372
Definition of variables
| Definition | References |
|---|---|
| Jeong et al. ( | |
| Deshpandé and Webster ( | |
| Tsou et al. ( | |
| Borgatti and Foster ( | |
| Bouncken and Koch ( | |
| Newbert ( | |
| Ferro et al. ( |
Fig. 1Research framework
Demographic characteristics
| Characteristics | Classification | % | |
|---|---|---|---|
| Company size | From 5 to 30 employees | 110 | 38.7 |
| From 31 to 60 employees | 97 | 34.2 | |
| From 60 to 99 employees | 77 | 27.1 | |
| Total | 284 | 100 | |
| Number of years operating | From 1 to 2 years | 24 | 8.4 |
| From 2 to 5 years | 32 | 11.3 | |
| From 5 to 10 years | 51 | 18 | |
| More than 10 years | 177 | 62.3 | |
| Total | 284 | 100 | |
| Respondent title | Owner | 128 | 45.1 |
| Director | 73 | 25.7 | |
| General manager | 37 | 13 | |
| Other (e.g., Government.) | 46 | 16.2 | |
| Total | 284 | 100 | |
| Business area | Food and beverage | 125 | 44.0 |
| Clothes | 82 | 28.9 | |
| Insurance | 43 | 15.1 | |
| Bank | 34 | 12 | |
| Total | 284 | 100 | |
| Gross income/month | Rp. 1 million- Rp. 10 million | 118 | 41.5 |
| Rp. 10.1 million- Rp. 20 million | 75 | 26.4 | |
| Rp. 20.1 million- Rp. 50 million | 44 | 15.5 | |
| above Rp. 50 million | 47 | 16.6 | |
| Total | 284 | 100 |
Source: data collection
Convergent validity and reliability
| Constructs | No. items | Mean | SD | CA | DG rho | CR | AVE | VIF |
|---|---|---|---|---|---|---|---|---|
| CU | 4 | 1.775 | 0.811 | 0.824 | 0.830 | 0.883 | 0.653 | 2.858 |
| CO | 3 | 4.22 | 0.804 | 0.855 | 0.860 | 0.912 | 0.775 | 2.517 |
| TO | 4 | 3.827 | 0.803 | 0.777 | 0.781 | 0.858 | 0.604 | 2.713 |
| NO | 5 | 3.895 | 0.951 | 0.861 | 0.870 | 0.900 | 0.642 | 3.002 |
| IO | 4 | 3.872 | 0.936 | 0.866 | 0.868 | 0.909 | 0.714 | 2.928 |
| CA | 7 | 3.946 | 0.822 | 0.910 | 0.910 | 0.929 | 0.652 | |
| ES | 5 | 3.507 | 1.034 | 0.908 | 0.911 | 0.932 | 0.732 |
CU customer orientation, CO competitor orientation, TO technology orientation, NO network orientation, IO innovation orientation, CA competitive advantage, ES economic sustainability, DG’s rho Dillon–Goldstein’s rho, SD standard deviation, CA Cronbach’s alpha, CR composite reliability, AVE average variance extracted, VIF variance inflation factor
Loadings and cross-loadings
| Indicators | CU | CO | TO | NO | IO | CA | ES |
|---|---|---|---|---|---|---|---|
| Customer orientation | |||||||
| New product ideas are derived from market | 0.833 | − 0.650 | − 0.463 | − 0.543 | − 0.527 | − 0.408 | − 0.430 |
| Our new products should offer superior value to customers | 0.801 | − 0.577 | − 0.531 | − 0.495 | − 0.461 | − 0.355 | − 0.437 |
| We develop new products that are responsive to the customer needs | 0.807 | − 0.577 | − 0.610 | − 0.558 | − 0.576 | − 0.474 | − 0.531 |
| We actively seek market information to enhance our understanding of customer’ needs | 0.792 | − 0.627 | − 0.476 | − 0.450 | − 0.461 | − 0.405 | − 0.342 |
| Competitor orientation | |||||||
| We respond rapidly to competitive actions that threaten us | − 0.631 | 0.883 | 0.447 | 0.550 | 0.520 | 0.417 | 0.439 |
| We target customers and customer group in which we have or can develop a competitive advantage | − 0.683 | 0.859 | 0.523 | 0.540 | 0.493 | 0.510 | 0.486 |
| Top management regularly discusses competitors’ strength and strategies | − 0.664 | 0.898 | 0.479 | 0.544 | 0.559 | 0.487 | 0.447 |
| Technology orientation | |||||||
| We build upon proven technological breakthroughs made by other firms | − 0.628 | 0.623 | 0.705 | 0.572 | 0.548 | 0.481 | 0.456 |
| We emphasise technological superiority to differentiate our new products | − 0.449 | 0.335 | 0.851 | 0.542 | 0.587 | 0.525 | 0.527 |
| We strive to achieve technological leadership in the market we compete | − 0.457 | 0.328 | 0.833 | 0.549 | 0.583 | 0.566 | 0.537 |
| We aggressively adopt new technologies in their early phrases of introduction | − 0.490 | 0.450 | 0.706 | 0.594 | 0.541 | 0.551 | 0.455 |
| Network orientation | |||||||
| The relationship of our halal SMEs in network are reciprocated | − 0.441 | 0.443 | 0.533 | 0.789 | 0.504 | 0.506 | 0.487 |
| The relationship of our halal SMEs in network are strong | − 0.463 | 0.407 | 0.666 | 0.754 | 0.572 | 0.495 | 0.570 |
| There is information exchange between our halal SMEs and the network entities | − 0.570 | 0.590 | 0.557 | 0.831 | 0.635 | 0.574 | 0.556 |
| There is materials exchange between our halal SMEs and the network entities | − 0.521 | 0.474 | 0.506 | 0.804 | 0.615 | 0.489 | 0.498 |
| Our halal SME uses the tangible resources (e.g., human, financial) of other entities Of halal SMEs of organisational network of inter-organisational networks | − 0.542 | 0.545 | 0.644 | 0.827 | 0.694 | 0.658 | 0.496 |
| Innovation orientation | |||||||
| We actively search for innovative ideas for novel products and services | − 0.529 | 0.464 | 0.624 | 0.722 | 0.787 | 0.628 | 0.582 |
| We constantly refine and develop our product and service portfolio | − 0.484 | 0.497 | 0.627 | 0.643 | 0.876 | 0.681 | 0.640 |
| We are able to initiate fast and cross- functional implantation of innovation | − 0.521 | 0.503 | 0.604 | 0.661 | 0.894 | 0.642 | 0.740 |
| All our personal is encourage to participate in developing novel product and service ideas | − 0.608 | 0.549 | 0.608 | 0.538 | 0.819 | 0.614 | 0.610 |
| Competitive advantage | |||||||
| Our halal products are difficult for competitors to copy | − 0.325 | 0.368 | 0.567 | 0.514 | 0.569 | 0.787 | 0.501 |
| Our response to competitive moves in the marketplace in good | − 0.424 | 0.456 | 0.588 | 0.567 | 0.659 | 0.848 | 0.546 |
| Our ability to track change in customer needs and wants is good | − 0.298 | 0.382 | 0.521 | 0.497 | 0.568 | 0.832 | 0.520 |
| We are quickly to respond to customer complaints | − 0.455 | 0.455 | 0.582 | 0.602 | 0.658 | 0.816 | 0.519 |
| Our halal product designs are unique | − 0.463 | 0.489 | 0.547 | 0.587 | 0.636 | 0.816 | 0.594 |
| Our halal products have a significant advantage over those of our competitors | − 0.413 | 0.446 | 0.564 | 0.560 | 0.588 | 0.835 | 0.544 |
| We make effort for halal product changes to overcome customers dissatisfaction with exiting halal products | − 0.495 | 0.437 | 0.503 | 0.540 | 0.600 | 0.708 | 0.672 |
| Economic sustainability | |||||||
| Our halal SMEs’ sustainable business practice improves cost efficiency | − 0.542 | 0.537 | 0.580 | 0.614 | 0.707 | 0.630 | 0.845 |
| Our halal SMEs’ sustainable business practice contributes positively to other aspects of halal SMEs’ business operations | − 0.511 | 0.476 | 0.572 | 0.551 | 0.640 | 0.617 | 0.901 |
| Our halal SMEs’ sustainable business practices require that all direct business partners are engaged in such in such practices | − 0.489 | 0.476 | 0.566 | 0.565 | 0.705 | 0.611 | 0.878 |
| Our halal SMEs’ sustainable business practices are derived from corporate polices | − 0.386 | 0.388 | 0.494 | 0.532 | 0.598 | 0.552 | 0.841 |
| Our halal SMEs’ sustainable business practices are based on long-term business perspectives | − 0.376 | 0.336 | 0.508 | 0.503 | 0.597 | 0.548 | 0.809 |
CU customer orientation, CO competitor orientation, TO technology orientation, NO network orientation, IO innovation orientation, CA competitive advantage, ES economic sustainability
Path coefficients
| Hypo | Path | Beta | Decision | |||||
|---|---|---|---|---|---|---|---|---|
| Direct effect | ||||||||
| H1a | CU → CA | 0.149 | 2.032 | 0.021 | 0.021 | Supported | ||
| H1b | CU → ES | 0.103 | 2.038 | 0.021 | ||||
| H2a | CO → CA | 0.135 | 1.917 | 0.028 | CA = 0.628 | 0.020 | CA = 403 | Supported |
| H2b | CO → ES | 0.094 | 1.905 | 0.029 | ||||
| H3a | TO → CA | 0.249 | 4.217 | 0.000 | ES = 0.479 | 0.063 | ES = 0.346 | Supported |
| H3b | TO → ES | 0.173 | 4.107 | 0.000 | ||||
| H4a | NO → CA | 0.160 | 2.000 | 0.023 | 0.023 | Supported | ||
| H4b | NO → ES | 0.111 | 1.979 | 0.024 | ||||
| H5a | IO → CA | 0.471 | 5.110 | 0.000 | 0.208 | Supported | ||
| H5b | IO → ES | 0.327 | 4.904 | 0.000 | ||||
| H6 | CA → ES | 0.693 | 21.950 | 0.000 | 0.926 | Supported | ||
CU customer orientation, CO competitor orientation, TO technology orientation, NO network orientation, IO innovation orientation, CA competitive advantage, ES economic sustainability, t t statistics, p probability/p value, beta path coefficient, R2 R squared/determinant coefficient, f2 effect size, Q2 quality criteria model, decision decision of hypothesis testing
RMSE values of artificial neural networks (N = 284)
| Network | Sample size (training) | Sample size (testing) | RMSE (training) | RMSE (testing) | Sample size (training) | Sample size (testing) | RMSE (training) | RMSE (testing) |
|---|---|---|---|---|---|---|---|---|
| Model A: factors effecting competitive advantage | Model B: factors effecting economic sustainability | |||||||
| 1 | 194 | 90 | 0.437 | 0.382 | 203 | 81 | 0.414 | 0.414 |
| 2 | 202 | 82 | 0.439 | 0.409 | 188 | 96 | 0.433 | 0.437 |
| 3 | 187 | 97 | 0.429 | 0.420 | 193 | 91 | 0.469 | 0.438 |
| 4 | 199 | 85 | 0.439 | 0.369 | 197 | 87 | 0.441 | 0.469 |
| 5 | 205 | 79 | 0.496 | 0.469 | 187 | 97 | 0.455 | 0.454 |
| 6 | 208 | 76 | 0.463 | 0.380 | 199 | 85 | 0.476 | 0.531 |
| 7 | 200 | 84 | 0.458 | 0.388 | 192 | 92 | 0.427 | 0.408 |
| 8 | 202 | 82 | 0.496 | 0.494 | 196 | 88 | 0.479 | 0.452 |
| 9 | 202 | 82 | 0.452 | 0.471 | 196 | 88 | 0.447 | 0.470 |
| 10 | 190 | 94 | 0.399 | 0.547 | 196 | 88 | 0.462 | 0.421 |
| Mean | 0.451 | 0.433 | Mean | 0.450 | 0.449 | |||
| Standard deviation | 0.030 | 0.059 | Standard deviation | 0.022 | 0.036 | |||
Source: author’s data analysis
Sensitivity analysis
| Network | CU | CO | TO | NO | IO | CU | CO | TO | NO | IO | CA |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Factors effecting competitive advantage | Factors effecting economic sustainability | ||||||||||
| 1 | 0.14 | 0.14 | 0.18 | 0.11 | 0.43 | 0.18 | 0.21 | 0.09 | 0.16 | 0.24 | 0.13 |
| 2 | 0.09 | 0.14 | 0.20 | 0.13 | 0.45 | 0.11 | 0.14 | 0.08 | 0.14 | 0.43 | 0.11 |
| 3 | 0.13 | 0.08 | 0.21 | 0.19 | 0.39 | 0.03 | 0.12 | 0.11 | 0.30 | 0.26 | 0.18 |
| 4 | 0.10 | 0.17 | 0.28 | 0.15 | 0.31 | 0.11 | 0.06 | 0.05 | 0.22 | 0.35 | 0.21 |
| 5 | 0.04 | 0.04 | 0.19 | 0.41 | 0.32 | 0.09 | 0.11 | 0.02 | 0.14 | 0.35 | 0.30 |
| 6 | 0.05 | 0.19 | 0.28 | 0.05 | 0.43 | 0.13 | 0.09 | 0.07 | 0.25 | 0.14 | 0.32 |
| 7 | 0.09 | 0.23 | 0.11 | 0.15 | 0.42 | 0.20 | 0.11 | 0.08 | 0.12 | 0.28 | 0.22 |
| 8 | 0.12 | 0.17 | 0.25 | 0.29 | 0.18 | 0.26 | 0.02 | 0.07 | 0.01 | 0.26 | 0.39 |
| 9 | 0.10 | 0.04 | 0.22 | 0.26 | 0.38 | 0.10 | 0.13 | 0.09 | 0.13 | 0.27 | 0.28 |
| 10 | 0.13 | 0.26 | 0.13 | 0.14 | 0.34 | 0.17 | 0.10 | 0.12 | 0.04 | 0.31 | 0.27 |
| Mean importance | 0.10 | 0.14 | 0.20 | 0.19 | 0.37 | 0.14 | 0.11 | 0.08 | 0.15 | 0.29 | 0.24 |
CU customer orientation, CO competitor orientation, TO technology orientation, NO network orientation, IO innovation orientation, CA competitive advantage, ES economic sustainability
Source: author’s data analysis