Previous research on organizational practices is replete with contradictory evidence regarding their effects. Here, the authors argue that these contradictory findings may have occurred because researchers have often examined complex practice combinations and have failed to investigate a broad variety of firm-level outcomes. Thus, past research may obscure important differential effects of specific practices on specific firm-level outcomes. Extending this research, the authors develop hypotheses about the effects of practices that (a) enable information sharing, (b) set boundaries, and (c) enable teams on 3 different firm-level outcomes: financial performance, customer service, and quality. Relationships are tested in a sample of observations from over 200 Fortune 1000 firms. Results indicate that information-sharing practices were positively related to financial performance 1 year following implementation of the practices, boundary-setting practices were positively related to firm-level customer service, and team-enabling practices were related to firm-level quality. No single set of practices predicted all 3 firm-level outcomes, indicating practice-specific effects. These findings help resolve the theoretical tension in the literature regarding the effects of organizational practices and offer guidance as to how to best target practices to increase specific work-related outcomes. Implications for theory, research, and practice are discussed.
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http://dx.doi.org/10.1037/0021-9010.92.6.1467 | DOI Listing |
J Environ Manage
December 2024
College of Business and Public Management, Department of Economics, Wenzhou-Kean University, Wenzhou, China; Centre for Studies on Europe, Azerbaijan State University of Economics, Baku, Azerbaijan; Division of International Studies, College of International Studies, Korea University. 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea. Electronic address:
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June 2024
Department of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing, MI, United States.
Background: A "food system" approach to improve diet quality by intervening within areas such as food supply chains is gaining prominence. However, evidence of such interventions' impact, and understanding of appropriate methods to evaluate them, is lacking.
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Front Artif Intell
April 2024
Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China.
China's commitment to achieving carbon neutrality by 2060 has sparked scholars' interest in examining the environmental ramifications of green technologies in the digital era. While plenty of them provide eco-efficiency policy such as increasing R&D investment or stimulating green exports, little attention has been paid to the firm-level technological management and recombination strategies such as differentiation/specialization of green portfolios along with AI integration, which can significantly impact the pace of net-zero transitions. To address these gaps, this study investigates the moderating effect of technological specialization on levels of AI integration into green technologies estimated by green-AI technological distance and enterprises' innovation performance in Chinese contemporary contexts.
View Article and Find Full Text PDFHeliyon
April 2024
Economics and Administrative science, Department of Business Administration, Cyprus International University, Nicosia, Northern Cyprus, Via Merson 10, Turkey.
Artificial intelligence (AI) and other advanced technologies are increasingly recognized as essential catalysts for enhancing productivity due to their capability to transform nearly all operations within and outside firms. However, the empirical research on how AI assimilation may promote firm-level outcomes such as absorptive capacity (AC), customer agility (CA), and firm performance (FP) is still in its infancy. Drawing from the dynamic capability view and using 417 valid responses collected through cross-sectional methods from small and medium-sized enterprises (SMEs) in Lebanon, this study examines the effect of AI assimilation on firm performance.
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March 2024
Complexity Science Hub Vienna, Vienna A-1080, Austria.
To estimate the reaction of economies to political interventions or external disturbances, input-output (IO) tables-constructed by aggregating data into industrial sectors-are extensively used. However, economic growth, robustness, and resilience crucially depend on the detailed structure of nonaggregated firm-level production networks (FPNs). Due to nonavailability of data, little is known about how much aggregated sector-based and detailed firm-level-based model predictions differ.
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