Factors Determining the Performance of Construction Enterprises: Evidence from Nepal Article Swipe

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Basu Dev Lamichhane , Padam Bahadur Lama , Rita Subedi , Surya Prasad Timilsina , Basu Dev Lamichhane , Padam Bahadur Lama , Rita Subedi , Surya Prasad Timilsina ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48161/qaj.v5n4a1624

Construction enterprises operate in a competitive and volatile business atmosphere. The earlier evidence exhibits inconsistent findings and investigations are rare in Nepal. Thus, this research aims to investigate the factors determining the performance of construction enterprises. The study used descriptive and explanatory research design to test the hypotheses. Moreover, the survey used predictor variables like economic, human resource, and supply chain conditions, and the outcome variable was the performance of construction enterprises. A purposive sampling strategy was used to gather the cross-sectional primary data. Additionally, 426 structured questionnaires were sent to the intended respondents; only 216 (50.70 percent) of these were relevant. The study's population included the construction enterprises in the Kathmandu Valley. This study used descriptive and inferential statistical approaches to examine the data, including frequency, percentage, correlation, and regression analysis with Cronbach's alpha. The findings of this study revealed a positive and significant influence of economic conditions on the performance of the construction business (β= 0.328, p < 0.05). Similarly, a positive and significant effect of human resource conditions was found on the performance of construction enterprises (β = 0.412, p <0.05). Finally, the supply chain condition was found to be positive and significant with the performance of construction enterprises (β = 0.330, p <0.05). This shows that better economic conditions, human resources, and supply chain conditions foster the performance of construction enterprises in Kathmandu, Nepal. This study will be useful for regulatory institutions, policymakers, researchers, scholars, and construction business owners.

Related Topics

Business

Descriptive Statistics

Supply Chain

Operations Management

Supply Chain Management

Statistical Inference

Construction Industry Of Japan

Performance Measurement

Concepts

Nonprobability sampling Business Population Human resources Descriptive statistics Supply chain Variables Operations management Marketing Regression analysis Research design Competitive advantage Statistical hypothesis testing Data collection Outcome (game theory) Variable (mathematics) Supply chain management Sample (material) Statistical inference Test (biology) Descriptive research Industrial organization Statistical analysis Resource (disambiguation) Positive relationship Construction industry Performance measurement Sampling (signal processing) Human capital Performance indicator

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Landing Page: https://doi.org/10.48161/qaj.v5n4a1624
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DOI: https://doi.org/10.48161/qaj.v5n4a1624

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Title: Factors Determining the Performance of Construction Enterprises: Evidence from Nepal

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Publication year: 2025

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Publication date: 2025-11-26

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Authors: Basu Dev Lamichhane, Padam Bahadur Lama, Rita Subedi, Surya Prasad Timilsina, Basu Dev Lamichhane, Padam Bahadur Lama, Rita Subedi, Surya Prasad Timilsina

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Concepts: Nonprobability sampling, Business, Population, Human resources, Descriptive statistics, Supply chain, Variables, Operations management, Marketing, Regression analysis, Research design, Competitive advantage, Statistical hypothesis testing, Data collection, Outcome (game theory), Variable (mathematics), Supply chain management, Sample (material), Statistical inference, Test (biology), Descriptive research, Industrial organization, Statistical analysis, Resource (disambiguation), Positive relationship, Construction industry, Performance measurement, Sampling (signal processing), Human capital, Performance indicator

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abstract_inverted_index.strategy	75
abstract_inverted_index.variable	65
abstract_inverted_index.volatile	7
abstract_inverted_index.Kathmandu	111
abstract_inverted_index.Moreover,	48
abstract_inverted_index.condition	188
abstract_inverted_index.economic,	55
abstract_inverted_index.including	125
abstract_inverted_index.influence	145
abstract_inverted_index.predictor	52
abstract_inverted_index.purposive	73
abstract_inverted_index.relevant.	101
abstract_inverted_index.resource,	57
abstract_inverted_index.scholars,	238
abstract_inverted_index.variables	53
abstract_inverted_index.<0.05).	183, 206
abstract_inverted_index.Cronbach's	133
abstract_inverted_index.Kathmandu,	226
abstract_inverted_index.Similarly,	161
abstract_inverted_index.approaches	120
abstract_inverted_index.conditions	148, 170, 218
abstract_inverted_index.frequency,	126
abstract_inverted_index.population	104
abstract_inverted_index.regression	130
abstract_inverted_index.regulatory	234
abstract_inverted_index.resources,	214
abstract_inverted_index.structured	86
abstract_inverted_index.atmosphere.	9
abstract_inverted_index.competitive	5
abstract_inverted_index.conditions,	61, 212
abstract_inverted_index.descriptive	39, 116
abstract_inverted_index.determining	30
abstract_inverted_index.enterprises	1, 108, 178, 201, 224
abstract_inverted_index.explanatory	41
abstract_inverted_index.hypotheses.	47
abstract_inverted_index.inferential	118
abstract_inverted_index.investigate	27
abstract_inverted_index.percentage,	127
abstract_inverted_index.performance	32, 68, 151, 175, 198, 221
abstract_inverted_index.significant	144, 165, 195
abstract_inverted_index.statistical	119
abstract_inverted_index.Construction	0
abstract_inverted_index.construction	34, 70, 107, 154, 177, 200, 223, 240
abstract_inverted_index.correlation,	128
abstract_inverted_index.enterprises.	35, 71
abstract_inverted_index.inconsistent	14
abstract_inverted_index.researchers,	237
abstract_inverted_index.respondents;	93
abstract_inverted_index.Additionally,	84
abstract_inverted_index.institutions,	235
abstract_inverted_index.policymakers,	236
abstract_inverted_index.investigations	17
abstract_inverted_index.questionnaires	87
abstract_inverted_index.cross-sectional	81
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	8
citation_normalized_percentile