Structural Modeling Research Articles

Absorptive capacity, entrepreneurial orientation and organizational performance in state-owned companies

PurposeThe objective of this article is to analyze the relationship between absorptive capacity, entrepreneurial orientation, and performance within Brazilian federal state-owned companies.Design/methodology/approachPrimary data were obtained using survey research. Secondary data were obtained using the Federal State-owned Companies Bulletin and the website State-owned Companies Overview. Tested and validated scales were selected to reflect Absorptive Capacity (ACAP), Entrepreneurial Orientation (EO), and Organizational Performance (OP) variables applied to a sample of 119 managers and advisors of federal state-owned companies. Structural Equation Modeling techniques were applied to identify the statistical significance of the direct, indirect, and total effects. The final measurement and structural model presented convergent and discriminant validity with acceptable adjustment indexes.FindingsACAP was found to be directly related to the ability to identify, recognize, transform, and especially implement new knowledge. EO is related to the institution’s ability to take risks, be proactive, and innovate. Those are fundamental processes for fulfilling the mission of state-owned companies, for their survival, and for improving the quality of public services provided to society. These findings differ from studies carried out in private companies since the ACAP-exploration dimension in private businesses displays a relevant relationship between the factors composing EO, a feature not observed here.Originality/valueThe paper’s main contribution is to confirm the influence of ACAP on EO and EO on OP, considering the environment of Brazilian federal state-owned companies. Such results expand the scarce academic studies on absorptive capacity, entrepreneurial orientation, and performance in the public area, in addition to offering perspectives of specific training direction to expand the competencies of public managers.

Guest-Responsive Near-Infrared-Luminescent Metal-Organic Cage Organized by Porphyrin Dyes and Yb(III) Complexes.

Metal-organic cages (MOCs) with luminophores have significant advantages for the facile detection of specific molecules based on turn-on or turn-off luminescence changes induced by host-guest complexation. One important challenge is the development of turn-on-type near-infrared (NIR)-luminescent MOCs. In this study, we synthesized a novel MOC consisting of two porphyrin dyes linked by four Yb(III) complexes, which exhibit bimodal red and NIR fluorescence signals upon photoexcitation of the porphyrin π system. Single-crystal X-ray structural analysis and computational molecular modeling revealed that planar aromatic perfluorocarbons were intercalated into the MOC. The tight packing between the MOC and guests enhanced the NIR fluorescence of Yb(III) by suppressing energy transfer from the photoexcited porphyrin to oxygen molecules. Guest-responsive turn-on NIR fluorescence changes in an MOC were successfully demonstrated.

Determinants and indicators for destination competitiveness: the case of Shiraz city, Iran

Purpose Nowadays, the tourism industry is considered the largest and most diverse industry in the world, which can play a significant role in the economic growth and development of a country as the main source of income and employment. In this regard, the purpose of this study is to focus on evaluating the competitiveness indicators of Shiraz city tourism destination based on a combined model. Design/methodology/approach For this purpose, a questionnaire with 78 questions was used to evaluate the indicators, in which a total of 1,432 tourists participated, including 927 domestic tourists and 505 international tourists. The collected data were analyzed to determine the hierarchical relationship between the indicators using equation structural modeling. Findings The research findings indicate that the most effective and influential indicators in the field of tourism competitiveness are natural and handmade resources, and the most influential factors are demand conditions and cultural and natural resources. In this hierarchy, each factor affects its previous level and influences the next level. Originality/value This study offers significant potential for uncovering credible and robust approaches to further investigate the contextualization of tourism competitiveness on both national and international scales, thereby generating valuable new insights. By conceptualizing the diverse dimensions of tourism competitiveness and delving into the variations in its impacts across multiple levels, this research not only challenges existing notions but also aids destinations in maintaining and enhancing their market position and share over time. This study offers valuable insights and practical implications for both researchers and practitioners in the field of urban tourism. It enhances the understanding of destination competitiveness, informs policy decisions, facilitates benchmarking and best practices, guides strategic decision-making and promotes sustainable tourism development.

A LIGAÇÃO ENTRE A CAPACIDADE DE INTERAÇÃO PROATIVA COM O DESEMPENHO DA EQUIPE DE TRABALHO EM HOTÉIS CINCO ESTRELAS

Objective: This research aims to use proactive interaction capability as a mediating variable for the influence of knowledge sharing on work team performance. Method: This research method was developed in a causal research design in which research hypotheses will be tested, with the aim of identifying causal relationships between variables. The population in this study were all department managers in the 5 Star hotel industry in West Java with a sample of 22 hotels. These departments include Front Office, Food and Beverage service, Food and Beverage products, Housekeeping, Accounting, HRD, Engineering, Marketing and Security. Apart from that, the hotel owner is a member of the Indonesian Hotel and Restaurant Association (PHRI) and the hotel has been operating for more than 10 (ten) years. The data source used in this research is primary data with data collected using a list of statements submitted directly to respondents. The data analysis method used in this research uses variance-based or component-based SEM structural equation modeling techniques which include several steps including preparing flow diagrams, model fit research, and structural model assessment. Results and Discussion: The results of this research show several findings, including (1) the work team efficacy variable is not able to mediate proactive interaction capability and work team performance, (2) the proactive interaction capability variable is able to mediate knowledge sharing on work team performance. Originality/Value: Proactive interaction capability in this research is a new initiative in explaining the process of how knowledge sharing can improve work team performance.

Geopolitical risk, supply chains, and global inflation

AbstractThis paper investigates the effects of global geopolitical risks and global supply chain pressures on global inflation for the monthly period of 1999M1–2022M12. The investigation is based on a structural vector autoregression model, where the effects of global oil prices and global monetary policy are controlled for. Four alternative measures of inflation are used, including headline, core, food, and energy inflation. The empirical results show that disruptions in global supply chains are the main drivers of global inflation in the long run as the corresponding shocks explain the lion's share of volatilities in headline inflation (by 32%), core inflation (by 30%), and food inflation (by 22%), followed by oil price shocks and policy rate shocks. In comparison, energy inflation is explained the most by oil price shocks (by 55%) followed by supply chain shocks and policy rate shocks. Positive supply chain pressure and oil price shocks have positive and statistically significant effects on headline inflation even after five years, whereas positive policy rate shocks have negative and statistically significant effects on headline inflation in the long run. In contrast, positive shocks to geopolitical risk result in higher headline inflation only up to one year, with insignificant effects in the long run. Several policy implications follow.

SPOUSAL LABOR SUPPLY, CAREGIVING, AND THE VALUE OF DISABILITY INSURANCE

AbstractThis article evaluates the insurance value of the Social Security Disability Insurance (SSDI) program among married households when wives face a trade‐off between market hours and spousal care following their husbands' disability. Event study analyses show that wives' labor supply responses to their husbands' disability are small, and instead, a considerable amount of time is spent in spousal care. Using a dynamic structural model, I find that incorporating time loss due to spousal care increases the insurance value of SSDI relative to its costs. Finally, budget‐neutral policy reforms that subsidize the cost of care can improve social welfare.

Analysis of Barriers to the Successful Implementation of Digitalization in South Africa Using the Interpretive Structural Modelling Approach

Many digitalization programmes fail in the implementation phase due to unforeseen obstacles. This study examines the barriers that affect the successful implementation of digitalization using the interpretive structural model and also evaluates the interrelationships among the barriers in the implementation of digitalization. Previous articles in the discipline of digitalization were used in the literature to mainly draw barriers found during the implementation phase of digitalization. Interpretive Structural Modelling results helped to find different levels of barriers and their influence on the system. The high cost of digital technologies and political instability were identified as the leading barriers affecting the successful implementation of digital systems in South Africa. The findings will aid in decision-making for problem-solving to eliminate the most critical barriers to improve the implementation process.

Exploring the evolutionary and pathogenic role of Acinetobacter baumannii biofilm-associated protein (Bap) through in silico structural modeling.

Acinetobacter species encode for extracellularly secreted Biofilm-associated protein (Bap), a multi-domain protein with variable molecular weights reaching several hundred kilodaltons. Bap is crucial for the development of multi-dimensional structures of mature biofilms. In our investigation, we analyzed 7338 sequences of A. baumannii from the NCBI database and found that Bap or Bap-like protein (BLP) was present in 6422 (87.52%) isolates. Further classification revealed that 12.12% carried Type-1 Bap, 68.44% had Type-2, 6.91% had Type-3, 0.05% had Type-6 or SDF-Type, and 12.51% lacked Bap or BLP. The majority of isolates with Type-1, Type-2, and Type-3 Bap belonged to ST1, ST2, and ST25, respectively. Phylogenetic analysis suggested that Type-1 Bap is the most ancient, while Type-3 and SDF-Type have evolved recently. Studying the interaction of predicted Bap structures with human CEACAM-1 and PIgR showed that Bap with its BIg13 and BIg6 domains interact with the N-terminal domain of CEACAM-1, involving Arg43 and Glu40, involved in CEACAM-1 dimerization. Also, we found that recently evolved Type-3 and SDF-Type Bap showed greater interaction with CEACAM-1 and PIgR. It can be asserted that the evolution of Bap has conferred enhanced virulence characteristics to A. baumannii with increased interaction with CEACAM-1 and PIgR. Using in silico approaches, this study explores the evolutionary, physicochemical, and structural features of A. baumannii Bap and unravels its crucial role in mediating interaction with human CEACAM-1 and PIgR through detailed structure modelling. These findings advance our understanding of A. baumannii Bap and highlight its role in pathogenesis.

A novel type IIb L-asparaginase from Latilactobacillus sakei LK-145: characterization and application.

We succeeded in homogeneously expressing and purifying L-asparaginase from Latilactobacillus sakei LK-145 (Ls-Asn1) and its mutated enzymes C196S, C264S, C290S, C196S/C264S, C196S/C290S, C264S/C290S, and C196S/C264S/C290S-Ls-Asn1. Enzymological studies using purified enzymes revealed that all cysteine residues of Ls-Asn1 were found to affect the catalytic activity of Ls-Asn1 to varying degrees. The mutation of Cys196 did not affect the specific activity, but the mutation of Cys264, even a single mutation, significantly decreased the specific activity. Furthermore, C264S/C290S- and C196S/C264S/C290S-Ls-Asn1 almost completely lost their activity, suggesting that C290 cooperates with C264 to influence the catalytic activity of Ls-Asn1. The detailed enzymatic properties of three single-mutated enzymes (C196S, C264S, and C290S-Ls-Asn1) were investigated for comparison with Ls-Asn1. We found that only C196S-Ls-Asn1 has almost the same enzymatic properties as that of Ls-Asn1 except for its increased stability for thermal, pH, and the metals NaCl, KCl, CaCl2, and FeCl2. We measured the growth inhibitory effect of Ls-Asn1 and C196S-Ls-Asn1 on Jurkat cells, a human T-cell acute lymphoblastic leukemia cell line, using L-asparaginase from Escherichia coli K-12 as a reference. Only C196S-Ls-Asn1 effectively and selectively inhibited the growth of Jurkat T-cell leukemia, which suggested that it exhibited antileukemic activity. Furthermore, based on alignment, phylogenetic tree analysis, and structural modeling, we also proposed that Ls-Asn1 is a so-called "Type IIb" novel type of asparaginase that is distinct from previously reported type I or type II asparaginases. Based on the above results, Ls-Asn1 is expected to be useful as a new leukemia therapeutic agent.

Kajian Psikoanalisis Sigmund Freud Berbasis Novel Karya Tulus Setiyadi untuk Menangani Kecemasan

Anxiety is one of the most common psychological problems experienced by everyone. The novel Kasrimpet Piweling and Puspita Rinengga by Tulus Setiyadi is one of the literary works that raises the issue of anxiety for its characters. Therefore, this research will discuss the anxiety of the main character in the novels Kasrimpet Piweling and Puspita Rinengga by Tulus Setiyadi using the psychoanalytic view proposed by Sigmund Freud. This research aims to explain the anxiety experienced by the main character in both novels. The theory used in this research is Sigmund Freud's psychoanalysis theory. Data collection with literature study method using library techniques, reading, recording and classification. Data analysis is done by looking at the personality structure, anxiety and ego defense mechanisms used by the characters. This type of research is literary research using descriptive method. The research data are in the form of words, phrases, clauses, sentences, narration from the narrator, characters' speech, and characters' actions related to ego defense mechanisms in Kasrimpet Piweling and Puspita Rinengga novels. The data collection techniques in this research are as follows: (1) conducting a literature study, (2) reading and understanding the novel, (3) marking the parts of the novel that indicate id, ego, and super ego (4) identifying the main characters and additional characters in the novel, (5) recording the data in the novel.

To the problem of improving technical skills of ski racers

The article examines the ways of optimizing the educational process and improving the management of motor actions in sports training by using different activity conditions (modes, action tasks) and creating functional systems of the technology of progression of sports skills. It has been established that the regimes of alternating exercises with rest are a means of selective action on indicators of general and special work capacity, coordination structure of movements, reaction of the body’s service systems. The effect of alternating exercise regimes with rest "A" and "B" and action tasks "faster thrust", "wider step" on the change of individual indicators of technique, movements, speed, speed endurance of ski racers when overcoming climbs was established. The practical significance of the obtained data is that they allow building models of directed and previously known action not only for the change of the integral indicator of special performance, but also for the parameters of the coordination structure of movements, as well as to determine the athlete's behavior program depending on the topography of the competition. Research results make it possible to create models of lessons that selectively affect various systems of the athletes' body and contribute to more accurate management of the development of special working capacity, the formation of technical skills. The application of these models in the general structure of the development of special capacity for work creates an opportunity to comprehensively influence a person as a complex organized, self-regulating system. Practical use of research results optimizes the process of managing sports training over a longer period of time.

Tetrahedra Rotational and Displacive Disorder in the Scheelite-Type Oxide CsReO4.

Scheelite-type metal oxides are a notable class of functional materials, with applications including ionic conductivity, photocatalysis, and the safe storage of radioactive waste. To further engineer these materials for specific applications, a detailed understanding of how their properties can change under different conditions is required─not just in the long-range average structure but also in the short-range local structure. This paper outlines a detailed investigation of the metal oxide CsReO4, which exhibits an uncommon orthorhombic Pnma pseudo-scheelite-type structure at room temperature. Using synchrotron X-ray diffraction, the average structure of CsReO4 is found to undergo a transformation from the orthorhombic Pnma pseudo-scheelite-type structure to the tetragonal I41/a scheelite-type structure at ∼440 K. In the X-ray pair distribution function analysis, lattice strain and rotations of the ReO4 tetrahedra are apparent above 440 K despite the increase in long-range average symmetry, revealing a disconnect between the structural models at different length scales. This study demonstrates how the bonding requirements and ionic radii of the A-site cation can induce disorder that is detectable at different length scales, affecting the physical properties of the material.

Toward the Reconciliation of Inconsistent Molecular Structures from Biochemical Databases.

Information on the structure of molecules, retrieved via biochemical databases, plays a pivotal role in various disciplines, including metabolomics, systems biology, and drug discovery. No such database can be complete and it is often necessary to incorporate data from several sources. However, the molecular structure for a given compound is not necessarily consistent between databases. This article presents StructRecon, a novel tool for resolving unique molecular structures from database identifiers. Currently, identifiers from BiGG, ChEBI, Escherichia coli Metabolome Database (ECMDB), MetaNetX, and PubChem are supported. StructRecon traverses the cross-links between entries in different databases to construct what we call identifier graphs. The goal of these graphs is to offer a more complete view of the total information available on a given compound across all the supported databases. To reconcile discrepancies met during the traversal of the databases, we develop an extensible model for molecular structure supporting multiple independent levels of detail, which allows standardization of the structure to be applied iteratively. In some cases, our standardization approach results in multiple candidate structures for a given compound, in which case a random walk-based algorithm is used to select the most likely structure among incompatible alternatives. As a case study, we applied StructRecon to the EColiCore2 model. We found at least one structure for 98.66% of its compounds, which is more than twice as many as possible when using the databases in more standard ways not considering the complex network of cross-database references captured by our identifier graphs. StructRecon is open-source and modular, which enables support for more databases in the future.

First-principles insights into the mechanism of CO2hydrogenation reactions by Fe-PNP pincer complex.

Using the state of the art theoretical methods, we have provided a comprehensive mechanistic understanding of the CO2 hydrogenation into HCOOH, H2CO, andCH3OH by 2,6-bis(diisopropylphosphinomethyl)pyridine (PNP)-ligated Fe pincer complex, featuring one CO and two H as co-ligands. For the computational investigation,a verified structural model containing methyl groups in place of the experimental isopropyl groups was used. Three catalytic conversions involving hydrogenation of CO2into formic acid (HCOOH), HCOOH into formaldehyde and methanol were studied indifferent solvent medium. Our modelled complex appears to be a viable base-free catalyst for the conversion of CO2 into HCOOH and HCOOH into H2CO, based on the freeenergy profiles, which show apparent activation energy barriers of 16.28 kcal/mol and23.63 kcal/mol for the CO2 to HCOOH and HCOOH to H2CO conversion, respectively. However, the computed results show that, due to the huge energy span of H2CO toCH3OH conversion, complete hydrogenation of CO2 into methanol could not occur under moderate conditions. Morpholine co-catalyst, which can lower the hydrogenationbarrier by taking part in a simultaneous H-atom donation-acceptance process, couldhave assisted in completing this step.

Research on the Influence of Cultural Memory in Agricultural Heritage on Brand Loyalty

Agricultural heritage includes both material and immaterial vestiges of past agricultural practices that are directly tied to human agriculture. It holds great ecological, cultural, commercial, and tourism value. There are not many historical sites available for developing agricultural heritage tourism right now, and no experience is ideal. This study used sophisticated PLS-SEM techniques and SmartPLS 3.3.9 software to carefully examine data, examine measurement and structural models, rigorously test hypotheses, determine the validity and reliability of the findings, and investigate potential moderating effects. To address the critical issue of brand loyalty in agricultural heritage tourism, this study developed and tested a comprehensive impact route, which was supported by an examination of 427 visitors’ cultural memories and brand experiences, demonstrating their critical role in influencing brand loyalty. The findings show the importance of cultural memory in shaping travelers’ brand experiences and loyalty. Furthermore, due to their unique characteristics, various groups react differently to each phase of the brand loyalty effect route.

Digital trading networks and competitive advantage in a buyer-seller network

PurposeFirms embedded in networks of relations are theorized through Gnyawali and Madhavan’s (2001) (G&M) structural embeddedness model to gain competitive advantage from topological characteristics. Empirical studies to support their theory have never been executed in full. Our study provided a full empirical test of their model in a digital trading network to achieve a higher degree of certainty that those network structural characteristics can have a major impact on the degree to which certain firms lead to competitiveness in a digital trading network environment.Design/methodology/approachTo examine how firms respond in competitive situations, we chose the hyper-active digital trading network, eBay as our empirical context. We used eBay auction data to analyze how the network characteristics of eBay resellers impact their competitive behaviors.FindingsOur study found strong support for the G&M model of competitiveness. We offer explanations for where support was not as strong as the Gynawali and Madavan theory proposes.Research limitations/implicationsOur research is limited by our chosen context and findings in support of part of G&M model. Future studies in other digital contexts are needed to enhance the modeling of network topologies and further study the impacts of network density and structural autonomy on competitive action.Practical implicationsOur study suggests that managers proceed cautiously in forming partnerships, weighing circumstances where the firm can find itself with increased information power and avoiding, to the greatest extent possible, situations where the playing field is roughly equal.Social implicationsTheory-making in this domain has begun as well as initial empirical testing. Much more needs to be accomplished, though, before embeddedness modeling can be thought of as being well established.Originality/valueThe G& M Model of competitiveness is an SNA explanation of why some competitive units succeed and others do not. Our study is the first, full blown empirical analysis of the theory.

The Pitfalls of Review Solicitation: Evidence from a Natural Experiment on TripAdvisor

This study examines the effect of firms’ participation in platform-endorsed review solicitation programs on consumers’ online review generation. We leverage a natural experiment on TripAdvisor, which launched a review solicitation program that allows hotels to collect reviews directly from guests after their stays with the aid of certified connectivity partners. Applying a two-stage difference-in-differences approach to a panel data set of online reviews for a matched set of hotels across TripAdvisor and Expedia, we find that hotels’ participation in the review solicitation program results in a 34.3% increase in review volume, a 0.151 increase in review rating, but a 16.9% decrease in review length. Review solicitation, however, generates a notable negative spillover effect on the volume of organic reviews. Specifically, the volume of organic reviews is reduced by 15.5% after hotels start soliciting reviews. We provide evidence that the motivational crowding-out effect plays an important role in driving this negative spillover. Further analyses reveal that the effects of review solicitation are heterogeneous with respect to hotels of different types and consumers with different demographic and behavioral characteristics. Finally, using a novel structural topic model, we detect a significant shift in review content from specific and concrete topics to general and abstract topics. Our findings suggest that review platforms and firms should be cautious about the unintended negative consequences of review solicitation on consumers’ review generation. This paper was accepted by Hemant Bhargava, information systems. Funding: This work was supported by the National Natural Science Foundation of China [Grants 72371192, 72132008, 71872061, and 72061127002] and the Humanities and Social Science Fund of Ministry of Education of China [Grant 22YJA630021]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.01006 .

3D molecular structural modeling and characterization of indium phosphide via irregularity topological indices

Indium phosphide (InP) is a binary semiconductor composed of indium and phosphorus. It has a zinc blende crystal structure, which is a type of cubic lattice structure. This lattice is composed of indium and phosphorus atoms arranged in a lattice of cube-shaped cells, with each cell containing four indium atoms and four phosphorus atoms. This lattice structure is the same for all materials with a zinc blende crystal structure and is the most common type of lattice structure in semiconductors. Indium phosphide (InP) has several chemical applications. It is commonly used as a dopant in the production of semiconductors, where it helps control the electrical properties of the material. InP is also utilized in the synthesis various indium-containing compounds, which can have applications in catalysts and chemical reactions. Additionally, InP nanoparticles have been investigated for their potential use in biomedical imaging and drug delivery systems. The topological characterization of 3D molecular structures can be performed via graph theory. In graph theory, the connections between atoms are represented as edges and the atoms themselves are represented as nodes. Furthermore, graph theory can be used to calculate the topological descriptors of the molecule such as the degree-based and reverse degree-based irregularity toplogical indices. These descriptors can be used to compare the topology of different molecules. This paper deals with the modeling and topological characterization of indium phosphide (InP)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$({\ ext{InP}})$$\\end{document} via degree-based and reverse irregularity indices. The 3D crystal structure of the InP is topologically modeled via partition of the edges, and derived closed form expressions for its irregularity indices. Our obtained results will be surely be helpful in investigating the QSPR/QSAR analysis as well as understanding the deep irregular behavior of the indium phosphide (InP)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$({\ ext{InP}})$$\\end{document}.

Truck Driving Assessment for Chinese Logistics and Transportation Companies Based on a Safety Climate Test System

By applying the “safety atmosphere” measurement theory to Chinese management companies engaged in road transportation, a corporate and individual safety risk assessment system was established that is consistent with the management and cultural climate in China, thereby reducing the driving safety risk of truck drivers. The system realizes the safety risk assessment of enterprises, fleets and individuals in the form of test scales by constructing a structural model of the enterprise safety atmosphere, including the management, communication, and supervision of enterprises, fleets, and individuals. The safety climate was modeled using a two-level framework, at the organizational level and fleet level, and three dimensions of test items for each level were obtained by exploratory factor analysis. The three dimensions of safety management, safety supervision, and safety priority at the organizational level, and the three dimensions of positive communication, safety awareness, and self-discipline at the fleet level, respectively, passed a valid factorial test (p < 0.01). Finally, the validity of the system evaluation results was verified by relying on the actual in-vehicle monitoring data and accident records of the corporate transportation fleet. The results show that the total test scores at the organizational level and the fleet level are significantly correlated with their driving risk behaviors, and both are linearly and negatively correlated with the number of accidents per thousand kilometers. This indicates a high degree of consistency between the system’s test results and actual risky accidents.

Differential Resistance to Acetyl-CoA Carboxylase Inhibitors in Rice: Insights from Two Distinct Target-Site Mutations.

Weeds present a significant challenge to agricultural productivity, and acetyl-CoA carboxylase (ACCase)-inhibiting herbicides have proven to be effective in managing weed populations in rice fields. To develop ACCase-inhibiting herbicide-resistant rice, we generated mutants of rice ACCase (OsACC) featuring Ile-1792-Leu or Gly-2107-Ser substitutions through ethyl methyl sulfonate (EMS) mutagenesis. The Ile-1792-Leu mutant displayed cross-resistance to aryloxyphenoxypropionate (APP) and phenylpyrazoline (DEN) herbicides, whereas the Gly-2107-Ser mutants primarily exhibited cross-resistance to APP herbicides with diminished resistance to the DEN herbicide. In vitro assays of the OsACC activity revealed an increase in resistance to haloxyfop and quizalofop, ranging from 4.84- to 29-fold in the mutants compared to that in wild-type. Structural modeling revealed that both mutations likely reduce the binding affinity between OsACC and ACCase inhibitors, thereby imparting resistance. This study offers insights into two target-site mutations, contributing to the breeding of herbicide-resistant rice and presenting alternative weed management strategies in rice cultivation.