Effect of poultry absorptive capacity on the farms' economic and commercial performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Florence Obiageli Ifeanyieze ◽  
Cosmas Ikechukwu Asogwa ◽  
Clara U. Nwankwo ◽  
Lilian Ukamaka Ekenta ◽  
Felicia Ngozi Ezebuiro ◽  
...  
Keyword(s):  
Absorptive Capacity ◽  
Latent Variables ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Equation Modeling ◽  
Developed Country ◽  
Content Type ◽  
Performance Effect ◽  
Market Shares ◽  
Commercial Performance

PurposeCorporate organizations could enhance their economic and commercial values through knowledge acquisitions and exploitations. The purpose of this study is to analyze the economic and commercial performance effect of poultry management absorptive capacity in Nigeria.Design/methodology/approachStructural equation modeling was used in the analysis of a random sample of 300 poultry managers and owners surveyed within the South-Eastern Nigeria. The scales that quantified the latent variables of the factors were tested for reliability and consistency using confirmatory factor analysis.FindingsThe study found evidence that the difference between economically and commercially viable poultry businesses and failing ones depends on the level of absorptive capacity. Absorptive capacity advanced innovations that resulted in higher economic and commercial performance of poultry farm. Poultry firms' profitability, sales growth and market shares were positively increased by absorptive capacity dimensions of acquisition, assimilation, transformation and exploitation.Research limitations/implicationsThe study was carried out within a region in Nigeria and thus could be limited by generalization to the developed country.Originality/valueThis study is the first to link four dimensions of absorptive capacity to the economic and commercial performance of poultry businesses in Nigeria. As such, it originally breaks new frontier of poultry farming from dynamic capabilities and absorptive capacity perspectives.

Comprehending a knowledge framework as a source of dynamic capabilities in IJVs through PLS-SEM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Madhavi Kapoor ◽  
Vijita Aggarwal
Keyword(s):  
Knowledge Transfer ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Global Market ◽  
Innovation Performance ◽  
International Joint Ventures ◽  
Mediation Effect ◽  
Equation Modeling ◽  
Content Type

Purpose This study aims to investigate the relationship among knowledge transfer enablers, knowledge transfer process, absorptive capacity and innovation performance in the context of Indian international joint ventures (IJVs). These elements are woven with the thread of dynamic capabilities theory (DCT) into an integrated framework. Design/methodology/approach Data analysis is conducted on a quantitative survey of 196 IJVs with partial least squares structural equation modeling as the statistical technique. Findings Co-learning strategy, collaborative trust culture, information technology-based resources and systems and organizational structural design are found to be significant knowledge transfer enablers. Absorptive capacity has a complementary partial mediation effect on the positive relationship between knowledge transfer and innovation performance of Indian IJVs. Research limitations/implications The study has pioneered in explicating the criticality of IJV’s internal dynamics to cope with the global market dynamism in a much needed Indian context. Practitioners must focus on building dynamic capabilities in IJVs to make them sustainably competitive, as proposed and evaluated by this study. Further, IJV managers need to strategize their resources, routines and structure dynamically to foster knowledge transfer and innovativeness. Originality/value The comprehensive model on DCT offered by this study is rare to match in literature with a completely new context, which is the need of the hour.

The role of absorptive capacity and organizational unlearning in the link between social media and service dominant orientation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jaime Ortega-Gutiérrez ◽  
Ignacio Cepeda-Carrión ◽  
Helena Alves
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Service Sector ◽  
Dynamic Capabilities ◽  
Absorption Capacity ◽  
Equation Modeling ◽  
Content Type

Purpose This paper aims to study the relationship between the knowledge obtained in social networks by firms together with the firms’ knowledge absorptive capacity and organizational unlearning as influencers of service-dominant (S-D) orientation, as well as the mediating role of absorption capacity and organizational unlearning in this process. Design/methodology/approach The sample amounts to 101 responding companies, obtained from the SABI database. The companies belong to the service sector in Spain and have at least 50 employees and 5 years or more of existence in the market. The model was estimated through partial least squares structural equation modeling with smartPLS software 3.2.6. Findings The results show that the use of social media is very important for firms to acquire knowledge and capabilities that help them to become S-D oriented. In addition, absorptive capacity and unlearning processes are dynamic capabilities necessary to transform the knowledge acquired in social media and to become S-D oriented. Research limitations/implications Companies’ managers draw conclusions that can generate great value, while better meeting the needs and desires of the market, the more knowledge is obtained. In addition, the use of the knowledge generated in this process will reduce the risk of sudden changes in the market. Practical implications The more knowledge is gained using social networks, the better the companies’ managers will be able to draw conclusions that can generate great value, while at the same time better satisfying the needs and desires of the market, and thus create capacities that allow the company to be service-oriented. In addition, the use of these knowledge platforms strengthens the strategic advantage of companies through the promotion of innovation and by relating dynamic capabilities with the orientation toward sustainable development. As mentioned above, a process will be generated that will reduce the risk of sudden changes in the market. Originality/value This is one of the few studies trying to study the antecedents of S-D orientation and the first to study the direct effect of social media use, and the direct and indirect effect of absorptive capacity and organizational unlearning on S-D orientation as dynamic capabilities.

Intellectual capital, absorptive capacity and product innovation

2017 ◽  
Vol 55 (3) ◽  
pp. 474-490 ◽  
Author(s):  
Raquel Machado Engelman ◽  
Edi Madalena Fracasso ◽  
Serje Schmidt ◽  
Aurora Carneiro Zen
Keyword(s):  
Human Capital ◽  
Absorptive Capacity ◽  
Intellectual Capital ◽  
Product Innovation ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Equation Modeling ◽  
Public Companies ◽  
Content Type ◽  
Private And Public

Purpose The purpose of this paper is to study the influence of intellectual capital on a firm’s absorptive capacity (ACAP), and of ACAP on product innovation. The authors argue that intellectual capital and other sets of intangible assets are mobilized by firms through dynamic capabilities such as ACAP. Product innovation is one of the results of this process. Design/methodology/approach A quantitative study was conducted, including 500 firms of different sizes, industries and technological intensities located in southern Brazil. The validity of constructs and the theoretical model were confirmed by structural equation modeling. Findings The authors found that intellectual capital does influence ACAP, albeit differently on each of ACAP’s dimensions. Acquisition, assimilation and exploitation of knowledge are more decisively influenced by structural capital, followed by human capital. The ability of transformation of knowledge is evenly influenced by structural and human capital, and more moderately so by social capital. The results also showed that ACAP influences product innovation, but each of its dimensions demonstrated a different impact. Practical implications This study helps practitioners to identify the development of a firm’s intangible resources and its influences on product innovation. This characterization can serve as a benchmark for managers or private and public companies to define strategies and policies to stimulate innovation. Originality/value Few studies present a theoretical discussion about the relationship between a firm’s resources and ACAP’s dimensions in broad empirical contexts or in emerging countries.

Bifurcating the dynamic dominant logic: technical and evolutionary patterns of action

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chandra Dwipayana ◽  
Ruslan Prijadi ◽  
Mohammad Hamsal
Keyword(s):  
Structural Equation ◽  
Dynamic Capabilities ◽  
Digital Transformation ◽  
Superior Performance ◽  
Integrative Model ◽  
Equation Modeling ◽  
Content Type ◽  
Dominant Logic ◽  
Term Performance ◽  
Evolutionary Fitness

PurposeThis study proposed the integrative model of dynamic dominant logic (DL) with exploitation (EP) and exploration (ER) as a pattern of actions in endeavoring firm performance (FP). This study also intended to explain the multiple patterns of DL in creating technical and evolutionary fitness simultaneously.Design/methodology/approachThis study used a cross-sectional quantitative analysis of the Indonesian commercial banking population facing digital transformation and was analyzed using covariance-based structural equation modeling through parceling.FindingsThe model confirmed that DL positively affects EP and ER. It also revealed that DL indirectly impacts FP through EP, indicating changes in the traditional banking business through the strong acceptance of “new realities” in adapting to the rapid growth of technology. Hence, this study discovered that during the recent banking digital transformation, the beneficial inertia of the technical pattern of action might lose effectiveness in creating superior performance.Practical implicationsDL is vital in locking short-term performance while maintaining long-term performance opportunities through EP and ER to promote digital transformation. Accordingly, it induced banks to adopt new technology for value creation and fortifying competitive advantage.Originality/valueThis study provided a theory about how DL links the firm's decision-making process by promoting multiple patterns of action in achieving technical and evolutionary fitness. It highlighted the DL as a resource conceptualization that promotes resource development through EP and ER as microfoundation of dynamic capabilities during the tension of institutionalization and digital transformation.

Entrepreneurial universities and women entrepreneurship: a cross-cultural study

2019 ◽  
Vol 57 (9) ◽  
pp. 2541-2554 ◽  
Author(s):  
Maria Carmen Laudano ◽  
Lamberto Zollo ◽  
Cristiano Ciappei ◽  
Vincenzo Zampi
Keyword(s):  
Structural Equation ◽  
Cross Cultural ◽  
Equation Modeling ◽  
Entrepreneurial Universities ◽  
Cross Culture ◽  
Developed Country ◽  
Content Type ◽  
Self Employment ◽  
Proposed Model ◽  
Emerging Country

Purpose Through a cross-culture study, the purpose of this paper is to understand about how entrepreneurial universities can foster entrepreneurship in women by attending to psychological and environmental factors and personality traits that encourage women to form entrepreneurial intent. Design/methodology/approach The authors test the proposed conceptual model on a cross-cultural sample comprising 350 students from Italy, a developed country, and from Albania, an emerging country. Structural equation modeling is used to validate the proposed model and test the hypothesized relationships. Findings In both Italy and Albania, entrepreneurial universities significantly impact entrepreneurial attitudes and intentions in women. The major differences relate to psychological factors that predict self-employment attitudes and intentions. Specifically, risk-taking propensity and locus of control are important antecedents of attitudes in both samples; the need for independence is a significant predictor only in the Italian sample; need for achievement has significant influence only in the Albanian sample. Originality/value To better understand and interpret the phenomenon of female entrepreneurship, the authors use the theory of planned behavior to investigate entrepreneurial universities located in Italy, a developed country, and Albania, an emerging country.

Investigate the role of distributed leadership and strategic flexibility in fostering business model innovation

2019 ◽  
Vol 13 (1) ◽  
pp. 93-112 ◽  
Author(s):  
Suqin Liao ◽  
Zhiying Liu ◽  
Lihua Fu ◽  
Peichi Ye
Keyword(s):  
Business Model ◽  
Distributed Leadership ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Business Model Innovation ◽  
Equation Modeling ◽  
High Tech ◽  
Strategic Flexibility ◽  
Environmental Dynamism ◽  
Content Type

PurposeThe purpose of this paper is to examine whether the new distributed leadership patterns is an important driver for innovating business model. By synthesizing insights from the dynamic capabilities perspective, it also explores how and when distributed leadership enhances the business model innovation (BMI) by involving strategic flexibility as a mediator and environmental dynamism as important contingency.Design/methodology/approachA survey via questionnaire was conducted with 262 CEOs and 262 senior managers from Chinese high-tech companies that provided the research data. Structural equation modeling and linear regression analyses were used to test the time-lagged data, and then the main research questions were responded to.FindingsThe analysis reveals that distributed leadership has a significant direct influence on BMI, and that distributed leadership also indirectly affects BMI by enhancing strategic flexibility. Environmental dynamism strengthens the positive effect of distributed leadership on BMI under strategic flexibility.Originality/valueThis paper advances and enriches the emerging stream of BMI research. It presents an innovative conceptual analysis of the antecedents of BMI, and it shows a possible solution for BMI that complements extant research that considers which and how the leadership style of the organizations affects the business model change.

Dynamic capabilities: interrelations and distinct effects on performance in low and high competitive intensity environments

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amiram Markovich ◽  
Kalanit Efrat ◽  
Daphne R. Raban
Keyword(s):  
Firm Performance ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Equation Modeling ◽  
Company Performance ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Competitive Intensity ◽  
Content Type ◽  
Impact Performance

PurposeThis study aims to augment the understanding of dynamic capabilities (DCs) by exploring the interrelations among the DC categories (sensing, seizing, reconfiguring) and the distinct impact of each DC on firm performance under low and high levels of competitive intensity.Design/methodology/approachThe analysis is based on a cross-sectional survey of 139 managers in Israel. The data were collected through Web-based questionnaires using the Qualtrics software. A two-stage data analysis was performed using structural equation modeling (SEM).FindingsThe findings indicate that DCs follow a sequence in which sensing drives seizing, which, in turn, enhances reconfiguring. The effects of sensing are mainly manifested through its direct impact on seizing, with no evidence for an impact of sensing on company performance. Moreover, under low competitive intensity, only seizing appears to impact performance, while under high competitive intensity, reconfiguring joins seizing in improving firm performance.Originality/valueThe study's findings advance the debate on the direct vs sequential nature of DCs by indicating an internal DC sequence. Our research also advocates for a crucial role of sensing in enhancing DCs, regardless of the level of competitive intensity. Furthermore, this research expands the understanding of the consequences of DCs and enables the prioritization of DC categories under low and high competitive intensity.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Barriers to radical innovation in research institutions in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianhua Yang ◽  
Rafif Al-Sayed
Keyword(s):  
Theoretical Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Business Models ◽  
Research Collaboration ◽  
Statistical Significance ◽  
Radical Innovation ◽  
Equation Modeling ◽  
Research Institutions ◽  
Content Type

Purpose This study aims to develop a better understanding of radical innovation performance and proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China. Both quantitative and qualitative techniques were used to test the hypotheses regarding barriers to radical innovation and the model proposed in this research. Design/methodology/approach The data was collected through questionnaires and semi-structured interviews with researchers from different research institutions across several cities in China. Next, the data was analyzed by deploying the structural equation modeling technique and calculating the statistical significance of correlations, regression and path coefficients among the latent variables. Findings The results indicated the major barriers impeding radical innovation in Chinese research institutes. Based on these findings, suggested policies, regulations and business models are put forward that can promote radical innovation in these institutes through increasing research freedom, enhancing organizational flexibility, attracting talented researchers and expanding research collaboration. Originality/value The research proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China.

Trust factors for organic foods: consumer buying behavior

2019 ◽  
Vol 122 (2) ◽  
pp. 414-431 ◽  
Author(s):  
Tsung Hung Lee ◽  
Chung-Jen Fu ◽  
Yin Yuan Chen
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Organic Food ◽  
Equation Modeling ◽  
Small Scale ◽  
Buying Behavior ◽  
Organic Foods ◽  
Behavior Theory ◽  
Content Type ◽  
Trust Factors

Purpose The purpose of this paper is to assess the relationship between trust factors and buying behavior among consumers in the organic food market in Taiwan. Design/methodology/approach The researchers developed a questionnaire using latent variables including the trust factors, utilitarian attitudes, hedonic attitudes, buying behavior and demographic information of consumers of organic foods. Confirmatory factor analysis and the structural equation modeling were conducted using LISREL 8.80 for Windows. Findings The empirical results indicated that health content, locally produced products, organic food labels and price premiums positively and significantly affected utilitarian and hedonic attitudes. Both utilitarian attitudes and hedonic attitudes positively and significantly affected respondents’ buying behavior. A series of theoretical implications were identified. Practical implications The researchers concluded that providing consumers with practical information related to organic food, establishing local production facilities, developing content, standardizing labeling procedures and promoting a new organic certification system for small-scale producers will encourage more consumers to purchase organic food. Originality/value This study first examines the food trust buying behavior of organic foods and related consumption behavior theory questions. It mainly takes the stimulus–organism–response model as the foundation of its approach. Simultaneously, it also conforms to utilitarian behavior theory, and the process by which consumers become better aware of organic foods’ quality.

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