The international profile of the firm

2019 ◽  
Vol 32 (3) ◽  
pp. 392-410
Author(s):  
Luz-Dary Botero-Pinzón ◽  
Jose C. Casillas ◽  
Marisol Valencia-Cárdenas
Keyword(s):  
Latin American ◽  
Latent Variables ◽  
Latent Variable ◽  
Statistical Technique ◽  
Structural Equations ◽  
International Expansion ◽  
Content Type ◽  
Latent Variable Analysis ◽  
Four Levels ◽  
And Cluster Analysis

Purpose The purpose of this paper is to design a system for measuring the level of internationalisation of companies in the field of developing countries, through latent variables based on multiple indicators, external and internal orientation. Design/methodology/approach From a sample of 112 international companies in Colombia, the methodology of latent variable analysis (LPA) is applied to a series of complementary tools, such as a model of structural equations, regression models and cluster analysis of companies. Findings The paper allows to verify the identification of six latent variables and their relationships, as well as to identify four levels of internationalisation from the structure of latent variables identified. Originality/value This is the first application of this recent and sophisticated statistical technique to the field of measuring the level of business internationalisation, especially indicated in the Latin American area, where an increasing number of companies are advancing in their process of international expansion.

Factors driving unified communications and collaboration adoption and use in organizations

2016 ◽  
Vol 20 (1) ◽  
pp. 21-40 ◽  
Author(s):  
Mario Silic ◽  
Andrea Back
Keyword(s):  
Technology Acceptance ◽  
Latent Variables ◽  
Latent Variable ◽  
Planning Process ◽  
Least Squares Method ◽  
Longitudinal Design ◽  
Cultural Dimensions ◽  
Content Type ◽  
Latent Variable Analysis ◽  
Unified Communications

Purpose The purpose of this paper is to reveal factors that drive the adoption and use of unified communications and collaboration (UC&C) technology in organizations. Design/methodology/approach The authors used quantitative method to survey 296 employees from 50 different countries by conducting and international study. Partial least squares -method was used for the latent variables latent variable analysis Findings The authors found that unified theory of acceptance and use of technology constructs are mainly validated where results suggests that performance expectancy and social influence are the most influential drivers in employee acceptance and use of UC&C in organizations. Social presence, influence of peers and superiors are the main factors to take into consideration when implementation UC&C technology. Research limitations/implications The study was not longitudinal in design, which should be addressed by a future study that includes multi-cultural dimensions with a longitudinal design Practical implications Awareness through education and training of employees needs to be given very particular attention in the future mobile implementations. Moreover, management and employee support is the critical component of the effective information security governance framework implementation. Finally, mobile strategy needs to go over very precise and detailed planning process to ensure the right technology acceptance by users. Originality/value The authors close the existing research gap by providing useful insights into organizations regarding their UC&C technology adoption and use factors

A latent variable analysis of corporate social responsibility and firm value

2018 ◽  
Vol 44 (4) ◽  
pp. 478-494 ◽  
Author(s):  
Boonlert Jitmaneeroj
Keyword(s):  
Firm Value ◽  
Measurement Errors ◽  
Latent Variable ◽  
Fixed Effects ◽  
Latent Variable Model ◽  
Variable Model ◽  
Content Type ◽  
Latent Variable Analysis ◽  
Corporate Social ◽  
Variable Analysis

Purpose Corporate social responsibility (CSR) has several dimensions that are inherently unobservable or measured with errors. Due to measurement errors of CSR proxies, regression analysis seems inappropriate for investigating the relationship between CSR and firm value. Accounting for CSR measurement errors, the purpose of this paper is to use a latent variable analysis to examine whether CSR affects firm value. Design/methodology/approach This study applies a latent variable model that directly takes into account the measurement errors of CSR proxies. Moreover, the inclusion of firm-fixed effects in the model controls for time-invariant unobservable firm-specific characteristics that may drive both CSR and firm value. CSR is measured by environmental, social, and corporate governance activities. Findings Based on data of US firms between 2002 and 2014, this study finds conflicting evidence of a direct association between each CSR proxy and firm value. When all CSR proxies are incorporated into a latent variable model, CSR significantly positively impacts firm value. Therefore, CSR strategies based on a single measure of CSR or the equal weighting of CSR measures tend to underestimate the influence of CSR on firm value. Practical implications Corporate managers should enhance firm value by simultaneously engaging in environmental, social, and corporate governance activities because there is a synergistic effect with firm value. Furthermore, investors who downplay CSR factors in firm valuation can lead to significant errors in making equity investment choices. Originality/value This study presents a novel examination of the price-earnings ratio in the CSR valuation by using the latent variable model with firm-fixed effects.

Logistics performance collaboration strategy and information sharing with logistics capability as mediator variable (study in Gafeksi East Java Indonesia)

2019 ◽  
Vol 36 (8) ◽  
pp. 1301-1317
Author(s):  
Indro Kirono ◽  
Armanu Armanu ◽  
Djumilah Hadiwidjojo ◽  
Solimun Solimun
Keyword(s):  
Information Sharing ◽  
Latent Variables ◽  
Latent Variable ◽  
Business Performance ◽  
Positive Impact ◽  
Partial Least Square ◽  
Least Square ◽  
Content Type ◽  
Strategic Role ◽  
Research Populations

Purpose The purpose of this paper is to analyze the effect of collaboration, capability and information sharing (IS) on logistic performance, the effect of collaboration and IS on capabilities, the effect of collaboration on logistic performance through capabilities, the influence of IS on logistic performance through capabilities and the effect of logistics capabilities on logistics performance. Design/methodology/approach This study uses a quantitative approach and is included in explanatory research. This research uses cross section research design. The research populations are all companies incorporated in GAFEKSI (Joint Forwarder and Expedition Indonesia) of East Java. Sampling in this research is by using a purposive sample. The sample of this study amounted to 47 forwarder and expedition companies. Data analysis method used is partial least square. Findings Collaboration has a positive impact on capabilities (CAP); capability (LOC) positive impact on logistic performance; collaboration does not directly affect the logistics performance; and construct capabilities (LOC) is the mediation of IS in building business logistics performance. Increasing the intensity of IS has no direct contribution to increased flexibility, and collaboration is driven by partnership and network, whereas CT (trust) can be ignored, as it is not proven to make a dominant contribution to collaboration. Originality/value The novelty of this research is found in the strategic role of capabilities as the dominant latent variable in building business performance of logistic companies. This study finds dual mediation, where both mediations are expressed as full mediation, because the direct effect of mediator latent variables is significant (Little et al., 2010; Hair et al., 1995).

International expansion for knowledge acquisition or knowledge acquisition for international expansion?

2019 ◽  
Vol 28 (2) ◽  
pp. 177-200 ◽  
Author(s):  
Clarice Secches Kogut ◽  
Renato Dourado Cotta de Mello ◽  
Angela da Rocha
Keyword(s):  
Knowledge Acquisition ◽  
Latin American ◽  
Multinational Enterprises ◽  
Longitudinal Design ◽  
Emerging Market ◽  
Theoretical Perspective ◽  
Multinational Firm ◽  
International Expansion ◽  
Content Type ◽  
Catch Up

Purpose Starting from the knowledge-based view as a theoretical perspective, this study aims to examine how an emerging market multinational enterprise (EMMNE) engages in reverse knowledge transfer (RKT) processes and how such processes are managed by headquarters. Therefore, this paper captures the perspective of top management concerning RKT and the processes used to create, transfer and integrate knowledge. Design/methodology/approach The study uses a longitudinal design based on the case method of investigation. The case selected for the study was a Brazilian company theoretically sampled for being a domestically, regionally and globally important, information-rich company that operates in an industry in which technology plays a crucial role. The company was also selected for having had asset-seeking motives in at least some of its foreign market entries and for having successfully absorbed foreign-acquired capabilities. Findings The study provides counterfactual evidence to the springboard perspective, considering timing and speed of the internationalization and catch-up processes and the size of acquisitions. The study also highlights differences to other emerging market multinational enterprises, concerning the internationalization trajectory and catch-up moves, and to traditional MNEs, regarding RKT challenges and practices. Research limitations/implications The main limitations of the study relate to the case study method, which does not allow for statistical generalization, although it does support analytical generalization. Originality/value The study contributes to the literature by shedding light on the process by which a Latin American multinational firm developed technological capabilities to compete globally, focusing on the symbiotic, self-nurturing relationship between internationalization processes and technology acquisition and integration processes. Moreover, the work provides novel theoretical insights regarding timing, location, size and execution of the RKT activities. Finally, the paper contributes to the understanding of the relational aspects of the RKT process by focusing on building human relationships as the major force behind knowledge integration and examining the resistance of the acquired companies from developed markets to adopt the parent company’s best practices, or to contribute to its integrated knowledge, when the parent company is an EMMNE.

Intrinsic and extrinsic motivation, organizational context, employee contentment, job satisfaction, performance and intention to stay

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismatilla Mardanov
Keyword(s):  
Job Satisfaction ◽  
Latent Variables ◽  
Latent Variable ◽  
Extrinsic Motivation ◽  
Organizational Context ◽  
Critical Factor ◽  
Short Version ◽  
Intention To Stay ◽  
Content Type ◽  
Intrinsic And Extrinsic Motivation

PurposeThe purpose of the present study is to examine the determinants of employee contentment and its effects on job satisfaction, separation and performance; define employee contentment as employee happiness/enjoyment at work triggered by employee intrinsic and extrinsic motivation and organizational context; and consider employee contentment as the critical factor affecting job satisfaction.Design/methodology/approachThe study utilizes survey data from 272 employees of Taiwanese construction companies and consulting firms in the construction industry. In confirmatory factor analysis, the items are from the short version of the Minnesota Satisfaction Questionnaire (MSQ) and a newly developed organizational context questionnaire.FindingsThe MSQ items can be considered as perceived motivators of employees. These motivators and organizational characteristics (context) as manifest variables were loaded on distinct latent variables such as extrinsic and intrinsic motivation and organizational context, all of which in turn loaded on a single latent variable – employee contentment. The latter has a positive and statistically significant impact on job satisfaction, performance and intention to stay. While employee contentment has a stronger impact on performance, job satisfaction has a stronger impact on the intention to stay.Originality/valueThe present study utilizes the MSQ satisfaction themes as intrinsic and extrinsic motivators: employees' perceived feelings before the actual work process starts (intrinsic) and work outcomes occur (extrinsic). It examines employee contentment through these perceived feelings and organizational context, providing important research and practice implications.

Internationalization of Mexican family firms: the cases of Xignux and Grupo Alfa

2017 ◽  
Vol 27 (2) ◽  
pp. 180-198 ◽  
Author(s):  
Juan Velez-Ocampo ◽  
Karthik Govindan ◽  
Maria Alejandra Gonzalez-Perez
Keyword(s):  
Latin American ◽  
Strategic Alliances ◽  
Family Firms ◽  
Organizational Capabilities ◽  
International Expansion ◽  
Theoretical Understanding ◽  
Case Study Methodology ◽  
Content Type ◽  
Internationalization Strategies ◽  
Mexican Family

Purpose This theory testing paper compares and analyzes the internationalization process of two Mexican family-owned firms: Xignux and Grupo Alfa. This paper is intended to offer a theoretical understanding using existing frameworks such as OLI (ownership, location and internationalization), LLL (linkage, leverage and learning) and the Uppsala model. Furthermore, it tests whether the theoretical framework of organizational capabilities and international ventures fits the internationalization of these companies. Design/methodology/approach This paper is based on case study methodology using the companies’ publically available data. Both within-case and cross-case analysis were carried out to identify specific traits in the internationalization pattern of both firms; cases were also compared with literature to identify conflicts and similarities that enable a better understanding of the phenomenon. Findings It was found that not a single theory fully and satisfactorily explains the internationalization of both Xignux and Alfa, instead, issues like internationalization into low psychic distance countries, establishment of strategic alliances and the exploitation of locational-specific advantages contributed in the international expansion of the studied companies. Originality/value There is an increasing amount of available literature regarding internationalization strategies and internationalization theories applied to developing and emerging country firms. However, most of the studies analyze companies from Asia, and there are limited studies on multilatinas (i.e. Latin American multinationals). Furthermore, scholars in the field of international business are still debating whether the existing theories, or an adaptation of them, explain the internationalization of multilatinas.

Farmer knowledge and willingness to pay for soil testing in Haiti

2018 ◽  
Vol 45 (7) ◽  
pp. 1109-1121
Author(s):  
Senakpon Kokoye ◽  
Joseph Molnar ◽  
Curtis Jolly ◽  
Dennis Shannon ◽  
Gobena Huluka
Keyword(s):  
Willingness To Pay ◽  
International Development ◽  
Latent Variables ◽  
Choice Model ◽  
Structural Equations ◽  
Soil Testing ◽  
Farm Size ◽  
Content Type ◽  
Factors Affecting ◽  
Fertilizer Use

Purpose The purpose of this paper is to investigate factors affecting farmers’ perceptions and knowledge of soil testing benefits and fertilizers use in Northern Haiti. Design/methodology/approach Data were collected from 452 farmers within 17 localities in Northern Haiti. The findings reveal that farmers currently have little or no knowledge of soil testing benefits and but know better about fertilizer use. The soil testing benefits and knowledge on fertilizers use were collected using Likert scale. Analyses were done using structural equations model and choice model. Findings Factors such as farm size, participation in project, rice, banana and cocoa growers, affect farmers’ perceptions and knowledge of soil testing benefits. Factors affecting willingness to pay include group membership, type of crops grown, whether farmer’ land is on the slope, his farm size and whether he participates in the US Agency for International Development (USAID) project. Knowledge on fertilizer use is influenced by rice and banana growers, fertilizer use, participation in soil testing program and AVANSE/USAID. The effects of both latent variables are found to be positive but non-significant. Practical implications As policy implication; farmers need training module to be better informed on soil testing benefits. Originality/value Soil testing is a novel agricultural input that is being popularized in developing countries. For sustainability of the laboratory to be installed, this study is needed to fill the gap in research on farmers’ behaviors toward and demand of soil testing in Northern Haiti.

The impact of managerial commitment and Kaizen benefits on companies

2016 ◽  
Vol 27 (5) ◽  
pp. 692-712 ◽  
Author(s):  
Midiala Oropesa Vento ◽  
Jorge Luis García Alcaraz ◽  
Aidé Aracely Maldonado Macías ◽  
Valeria Martínez Loya
Keyword(s):  
Professional Development ◽  
Human Resources ◽  
Operations Management ◽  
Latent Variables ◽  
Economic Benefits ◽  
Structural Equations ◽  
Planning Stage ◽  
Content Type ◽  
Measure Of Dependence ◽  
The Impact

Purpose – The purpose of this paper is to analyze the effects of both managerial commitment and the professional development of human resources on the benefits obtained from Kaizen implementation at the planning stage in Mexican maquiladora companies. Design/methodology/approach – As part of the methodology, a questionnaire is validated and administered to 423 workers in different companies from the states of Tabasco, Baja California, Sinaloa and Chihuahua. Moreover, a structural equation model is proposed to relate four latent variables: two concerning managerial commitment and the professional development of human resources, and two more related to the kinds of benefits obtained (economic and for human resources). Findings – Results demonstrate that managerial commitment has a direct and positive impact on economic benefits and those for human resources. The major contribution of this study is, however, the determination of dependency measures between these variables. Practical implications – This research contributes to the improvement and change, since the results of the research can be extended to the sustainability of other improvement activities, presenting additional areas for future research, such understanding will increase the likelihood that the results of application of Kaizen are sustained, eliminating waste and improving support within the organization. Finally, this research makes contributions to the field of industrial engineering and management disciplines of engineering and operations management, as it focusses on the improvement of integrated systems of people, materials, information, equipment and energy, these systems they are integral to the modeling of this investigation. Originality/value – This study tests the hypotheses and their relation to the sustainability of Kaizen in time for them to use the analysis technique of structural equations. For the author, this is the first study to determine the causal relationships between the critical success factors and benefits of Kaizen, determining a measure of dependence between them.

scholarly journals MASEM Infrastructure in Underdeveloped Areas of Java Island

2021 ◽  
Vol 56 (1) ◽  
Author(s):  
Bambang Widjanarko Otok ◽  
Agus Suharsono ◽  
Purhadi ◽  
Rahmawati Erma Standsyah ◽  
Harun Al Azies
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Average Distance ◽  
Meta Analysis ◽  
Generalized Least Squares ◽  
Structural Equations ◽  
Access To Health Services ◽  
Factors Affecting ◽  
Underdeveloped Areas ◽  
The Government

This article develops a method of modeling meta-analytical structural equations (MASEM) which merge meta-analysis and modeling of structural equations on infrastructural issues in underdeveloped areas of Java Island in Indonesia. The implementation of this research is MASEM modeling using the approach of generalized least squares. The modeling is used to analyze the factors affecting the infrastructure of the underdeveloped areas in the provinces located on Java Island. This study uses three exogenous latent variables (economy, accessibility, and regional characteristics) and one endogenous latent variable (infrastructure). The results of the implementation of this study indicate that the "accessibility factor", which is an indicator of the average distance from the capital/district to access to health services, has a positive and significant effect on the infrastructure of underdeveloped areas of Java Island. This result can be used as a reference for the government in determining policy directions to tackle the problems of underdeveloped areas; in particular, in the infrastructure dimension.

scholarly journals Estimating and interpreting latent variable interactions

2014 ◽  
Vol 39 (1) ◽  
pp. 87-96 ◽  
Author(s):  
Julie Maslowsky ◽  
Justin Jager ◽  
Douglas Hemken
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Model Fitting ◽  
Psychological Research ◽  
Structural Equations ◽  
Model Fit ◽  
Equation Modeling ◽  
Modeling Framework ◽  
Quadratic Effects

Latent variables are common in psychological research. Research questions involving the interaction of two variables are likewise quite common. Methods for estimating and interpreting interactions between latent variables within a structural equation modeling framework have recently become available. The latent moderated structural equations (LMS) method is one that is built into Mplus software. The potential utility of this method is limited by the fact that the models do not produce traditional model fit indices, standardized coefficients, or effect sizes for the latent interaction, which renders model fitting and interpretation of the latent variable interaction difficult. This article compiles state-of-the-science techniques for assessing LMS model fit, obtaining standardized coefficients, and determining the size of the latent interaction effect in order to create a tutorial for new users of LMS models. The recommended sequence of model estimation and interpretation is demonstrated via a substantive example and a Monte Carlo simulation. Finally, extensions of this method are discussed, such as estimating quadratic effects of latent factors and interactions between latent slope and intercept factors, which hold significant potential for testing and advancing developmental theories.

Sign in / Sign up

Export Citation Format

Share Document