scholarly journals Human, Technical, and Organizational Drivers Affecting Sustainability of Content Firms through Management and Innovation Capability during COVID-19

2021 ◽  
Vol 13 (12) ◽  
pp. 6661
Author(s):  
Hyunsun Park ◽  
Sanghyun Kim ◽  
Moonjong Choi ◽  
Jaesung Choi
Keyword(s):  
Structural Equation ◽  
Empirical Studies ◽  
Organizational Factors ◽  
Equation Modeling ◽  
Innovation Capability ◽  
Technical Factor ◽  
Management Level ◽  
Upper Management ◽  
Management Capability ◽  
Content Development

Individuals and businesses engage in a number of activities in the digital environment. During unexpected circumstances, such as COVID-19, many people used the internet for purposes such as education, work, and entertainment. This has led to a rapid growth in the content industry. Thus, studies of the sustainability and success of content companies are essential. Few empirical studies focus on these aspects of content companies, particularly concentrating on the importance of management and innovation capability. This study examines the roles of management and innovation capabilities and the human, technical, and organizational factors that affect these capabilities. This, in turn, positively affects the sustainability and success of content companies. The proposed research model includes content development ability and leadership as a human factor, technical support and information technology (IT) infrastructure as a technical factor, and top management and financial support as an organizational factor. A total of 255 responses were collected from upper management-level employees at various firms in the content industry. Covariance-based structural equation modeling was used with Amos 22.0. The results indicated that all proposed hypotheses were supported with the exception of the hypothesis that tests the relationship between content development and management capability. The study findings provide information necessary for future sustainability and success of content companies.

scholarly journals Sustainable Orientation of Management Capability and Innovative Performance: The Mediating Effect of Knowledge Management

2020 ◽  
Vol 12 (4) ◽  
pp. 1366
Author(s):  
Julio C. Acosta-Prado ◽  
Oscar H. López-Montoya ◽  
Carlos Sanchís-Pedregosa ◽  
Ulpiano J. Vázquez-Martínez
Keyword(s):  
Knowledge Management ◽  
Structural Equation ◽  
Health Sector ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Innovative Performance ◽  
Management Capability ◽  
The Relationship ◽  
Positive Effect

The literature suggests that innovation allows organizations to reach a desirable level of sustainability. There is evidence to support the role of knowledge management (KM) as well as management capability (MC) in producing a sustainable approach at organizations. Furthermore, organizations commonly achieve sustainable practices through corporate social responsibility (CSR). In particular, the health sector is increasingly implementing CSR strategies, although with a narrow understanding of the factors to success. Hence, trends lead to asymmetric growth between organizations. This study aims to examine the mediating role of KM in the relationship between MC and innovative performance (IP) in 331 Health Provider Institutions (HPIs). The research reflective model was assessed through Partial Least Squares Structural Equation Modeling (PLS-SEM). According to the results, MC has a positive effect on IP, MC has a positive effect on KM, and KM has a positive effect on IP. Likewise, KM significantly mediates the relationship between MC and IP. Our findings support the importance of KM in addressing MCs in HPIs as it enables innovative practices to address CSR goals to achieve a sustainable impact. Moreover, this study contributes by expanding KM to contexts that are not usually studied, such as health in a South American country.

Is lodging research suffering from methods bias? An assessment of published research during 1990-2016

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faizan Ali ◽  
Mehmet Ali Koseoglu ◽  
Fevzi Okumus ◽  
Eka Diraksa Putra ◽  
Mehmet Yildiz ◽  
...  
Keyword(s):  
Structural Equation ◽  
Quantitative Methods ◽  
Empirical Studies ◽  
Secondary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Data Collection And Analysis ◽  
Hospitality And Tourism ◽  
Method Bias ◽  
Published Research

Purpose The study aims to investigate if lodging research suffers from a method bias by comprehensively reviewing the research methodology used in lodging related research articles. Design/methodology/approach In all, 2,647 published papers in 16 leading hospitality and tourism published between 1990 and 2016 are analyzed using bibliometric technique. Findings In all, 69% of the empirical studies in lodging research across 26 years period used quantitative methods, with an increasing reliance on regression-based analysis and structural equation modeling, a disturbing plunging trend in methods diversity. Findings also suggest an increasing trend of using secondary data. Research limitations/implications Based on the findings of this study, theoretical and practical implications for hospitality and tourism researchers are provided. Originality/value This is the first study that reviewed a large corpus of published research (2,647 papers in 16 hospitality and tourism journals from the last 27 years) to highlight (a) methodology used, (b) methods employed and (c) data collection and analysis procedures.

Complementarity effect of supply chain competencies on innovation capability

2019 ◽  
Vol 25 (6) ◽  
pp. 1251-1272 ◽  
Author(s):  
Ying Liao ◽  
Yulong Li
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Network ◽  
Innovation Capability ◽  
Exploration And Exploitation ◽  
Complementarity Effect ◽  
Content Type ◽  
Essential Components ◽  
Network Flexibility

Purpose From the perspective of the economic theory of complementarity, the purpose of this paper is to examine how internal collaboration and external competencies would provoke and strengthen each other, and subsequently enhance organizational innovation capability. Design/methodology/approach The survey data were collected from 201 manufacturing firms and checked for common method variance, validity and reliability. Structural equation modeling was then used to test the hypothetical complementarity effect. Findings The results suggest that internal collaboration (as a manifestation of exploitative learning) and external competencies, which include supply network flexibility and supplier operational capabilities (as manifestation of exploratory learning), do in fact compensate for each other’s deficiencies. Complementary deployment of internal collaboration and external competencies enhances each other’s contribution to innovation capability. Practically, the study indicates that organizations should consider making concerted efforts to develop internal collaboration, supply network flexibility and supplier operational capability as a bundle. Originality/value Extensive discussions exist in the literature on exploration and exploitation being essential components of innovation and their conflicting impact on innovation efficiency and effectiveness. But how an organization should operationally develop supply chain competencies in order to maximize overall innovation capability still remains largely an unanswered question. The current study advances the research on the inter-relationships between exploration and exploitation by empirically demonstrating the complementary nature of internal collaboration and external competencies in developing sustainable innovation capabilities.

scholarly journals Critical factors that impact purchase online of new telecom convergent services in the Mexican market

2017 ◽  
Vol 7 (14) ◽  
Author(s):  
Rolando Zubirán Shetler ◽  
Jesús Fabian López Pérez
Keyword(s):  
Electronic Commerce ◽  
Technology Acceptance ◽  
Latent Variables ◽  
Diffusion Of Innovations ◽  
Structural Equation ◽  
Empirical Studies ◽  
The United States ◽  
Structural Equations ◽  
Equation Modeling ◽  
Critical Factors

Key words: Diffusion of innovations, electronic commerce, structural equations, Smart-PLS, technology acceptanceAbstract. The following article analyzes the principal factors that have an impact in the adoption of new telecom convergent services, through electronic commerce, that have been explored and studied primarily in developed markets such as the United States and that have been deemed as critical factors in the development and growth of online electronic transactions. Specifically, factors and latent variables of this study derive from the models of Technology Acceptance (Davis, 1989) and Diffusion of Innovations (Rogers, 2003). A summary of past empirical studies is provided deriving from the aforementioned theoretical models followed by results of an exploratory field study comprising of 253 valid observations randomly selected from within the population of urban internet users in Mexico. The methodology used to determine the causal relationship between variables (Betas) was factor analysis (Principal Components) and structural equation modeling, specifically Smart-PLS. The study determined that perceived utility and trust variables are statistically relevant and significant in determining purchase online of new telecom convergent services and the development of electronic commerce in the Mexican Market.Palabras clave: Aceptación de la tecnología, comercio electrónico, difusión de las innovaciones, ecuaciones estructurales, Smart-PLS.Resumen. Este artículo analiza los principales factores que influyen en la adopción de los nuevos servicios convergentes de telecomunicaciones, a traves del comercio electrónico, que han sido explorados y estudiados principalmente en mercados desarrollados como el de Estados Unidos y que han sido confirmados como factores críticos en el desarrollo y el crecimiento de las transacciones electrónicas en linea. Específicamente, los factores y variables latentes en este estudio se derivan de los modelos de Aceptación de la Tecnología (Davis, 1989) y la Difusión de las Innovaciones (Rogers, 2003). Se presenta un resumen de los antecedentes de estudios empíricos derivados de los mencionados modelos teóricos, seguido de los resultados de un estudio exploratorio de campo que comprende 253 observaciones válidas seleccionadas en forma aleatoria dentro de la población de usuarios urbanos de Internet en México. La metodología utilizada para determinar las relaciones causales entre las variables (Betas) fue análisis factorial (Componentes Principales) y el modelo de ecuaciones estructurales, específicamente Smart-PLS. El estudio determina que las variables percepción de utilidad y confianza son estadísticamente relevantes y significativas en la determinación de compra en línea de nuevos servicios convergentes de telecomunicaciones y en el desarrollo del comercio electrónico en el Mercado Mexicano.

scholarly journals The Impact of Big Data Adoption on SMEs’ Performance

2021 ◽  
Vol 5 (4) ◽  
pp. 68
Author(s):  
Mahdi Nasrollahi ◽  
Javaneh Ramezani ◽  
Mahmoud Sadraei
Keyword(s):  
Big Data ◽  
Economic Performance ◽  
Structural Equation ◽  
Information Technologies ◽  
Social Performance ◽  
Empirical Studies ◽  
Research Area ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analyzed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data (BD) components to improve their performance becomes a relevant research area. This issue is becoming more pertinent for small and medium enterprises (SMEs), especially in developing countries that encounter limited resources and infrastructures. Due to the lack of empirical studies related to big data adoption (BDA) and BD’s business value, especially in SMEs, this study investigates the impact of BDA on SMEs’ performance by obtaining the required data from experts. The quantitative investigation followed a mixed approach, including survey data from 224 managers from Iranian SMEs, and a structural equation modeling (SEM) methodology for the data analysis. Results showed that 12 factors affected the BDA in SMEs. BDA can affect both operational performance and economic performance. There has been no support for the influence of BDA and economic performance on social performance. Finally, the study implications and findings are discussed alongside future research suggestions, as well as some limitations and unanswered questions.

scholarly journals Dynamic Capabilities and Competitive Advantage of Telecommunication Companies in Ghana. The Role of Innovation Capability

2021 ◽  
pp. 146-160
Author(s):  
Nana Esi Quagraine ◽  
Cai Li ◽  
Isaac Ahakwa ◽  
Nana Aba Quagraine
Keyword(s):  
Competitive Advantage ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Discriminant Validity ◽  
Internal Consistency Reliability ◽  
Equation Modeling ◽  
Innovation Capability ◽  
Sustainable Performance ◽  
Convergent And Discriminant Validity ◽  
Telecommunication Companies

This paper explored the link between dynamic capabilities, innovation capabilities, and competitive advantage of telecommunication companies in Ghana, considering a mediation interaction. Data were obtained from two hundred and fifty (250) employees from selected telecommunication companies in the Accra metropolis through simple random probability sampling. However, two hundred and forty-two (242) responses were deemed accurate and used in the analysis. Partial Least Squares (PLS) based on Structural Equation Modeling (SEM) was employed in the analysis. From the findings, this study’s data met internal consistency reliability, convergent, and discriminant validity. Dynamic capabilities had a positive and significant impact on innovation capability and competitive advantage. Also, dynamic capabilities through innovation capability positively impacted competitive advantage and were statistically significant. Based on the findings, it’s recommended that organizations and managers consider both exploitation and exploration competencies in product development as both competencies influence various aspects of an organization’s competitive advantage, as this will help ensure organizations’ sustainable performance and thus remain competitive.

scholarly journals Determinants Factors of Crafters Performance of SME’s at Tapis, Province of Lampung

2021 ◽  
Vol 8 (1) ◽  
pp. 10
Author(s):  
Mieke Rahayu ◽  
Betty Magdalena
Keyword(s):  
Structural Equation ◽  
Organizational Characteristics ◽  
Equation Modeling ◽  
Work Culture ◽  
Innovation Capability ◽  
Managerial Ability ◽  
Analysis Technique ◽  
Verification Methods ◽  
And Performance ◽  
Positive Effect

This study aims to analyze and prove empirically the influence of managerial ability, work culture, organizational characteristics both partially and simultaneously on the innovation capability and performance of crafters at Tapis SMEs in Lampung Province. The research methods in this research are descriptive and verification methods. The population was 1,302 Tapis crafter in Lampung Province and a sample of 305 and as owner crafters as respondents, with questionnaires as data collection techniques, and data analysis technique was Structural Equation Modeling (SEM), using Lisrel 8.70. The results showed that partially or simultaneously, managerial ability, work culture, and organizational characteristics had a positive and significant influence on the capability of innovation. The results of this study also showed a positive effect of managerial ability, work culture, and innovation capabilities on the performance of crafters at Tapis SMEs in Lampung Province. Innovation capability can act as an intervening variable that strengthens the influence of managerial ability, organizational culture, and organizational characteristics on the performance of crafters the most dominant work culture influences the performance of craftsmen is 0.356. 

Consumer response to private label brands’ negative publicity: a relational effect on retailer’s store image

2017 ◽  
Vol 26 (2) ◽  
pp. 204-222 ◽  
Author(s):  
Hanna Gendel-Guterman ◽  
Shalom Levy
Keyword(s):  
Structural Equation ◽  
Empirical Studies ◽  
Product Category ◽  
Private Label ◽  
Equation Modeling ◽  
Store Image ◽  
Content Type ◽  
Negative Publicity ◽  
Image Context ◽  
Potential Damage

Purpose This study aims to examine the effect of private label brand (PLB) products’ negative publicity (NP) events on PLB general image and retailer’s store image, because of the suggested interdependency between retailer’s store image and PLB image. Design/methodology/approach Three empirical studies were conducted to test the NP effect – Studies 1 and 2, respectively; and test the occurrence of moderate and extreme NP events regarding the functional PLB product category. Study 3 replicates prior studies conducted on the hedonic product category. In these studies, participants were randomly assigned to treatment and control groups. The studies use factor analysis methods following t-tests and paths analyses, using structural equation modeling (SEM). Findings Findings show that both moderate and extreme NP have an influence on the PLB’s image dimensions. These effects “spilled over” to the entire range of PLB products, regardless of the category of the damaged product. Regarding retailer’s store image, the effect of NP was retained in the product-related image context and did not exceed that of the store-related image. However, in relation to functional products, when NP is very extreme, the effect on PLB image exceeds that of retailer’s store image. Practical implications Retailers should invest more efforts in their PLB product selection, quality maintenance and supervision to eliminate potential damage from events related to their PLB products. Originality/value The originality of this study is in the association of two streams of research: NP effects and the relationship between PLB image and retailer’s store image.

Unveiling business school interns' satisfaction toward online summer internship program amid COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rashmi Maini ◽  
Sanandi Sachdeva ◽  
Guneet Kaur Mann
Keyword(s):  
Business School ◽  
Structural Equation ◽  
Empirical Studies ◽  
North India ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Cross Sectional ◽  
Content Type ◽  
Global Pandemic ◽  
The University

PurposeThe objective of this research is to explore factors that influence interns' satisfaction (is) toward the e-internship program, an alternate adopted by management institutes in lieu of the regular summer internship amidst the global pandemic, coronavirus disease 2019 (COVID-19).Design/methodology/approachA cross-sectional research design with a self-reported questionnaire was conducted on business school (B-school) interns to rate the factors that contribute to their e-internship satisfaction. Structural equation modeling was used to examine the responses obtained from 203 B-school interns with a diverse demographic background belonging to a government university of North India. Convenience sampling was employed to get valid responses from interested respondents.FindingsResults revealed that although all the four factors under consideration, faculty mentors' preparedness (FMP), industry mentors' preparedness (IMP), interns' readiness toward online internship and interns' Internet efficacy (IIE) are significantly related to IS, industry mentors' role was found to have a major impact on the IS. The study unravels that industry mentors' interaction has a potential role in the successful implementation of e-internships.Research limitations/implicationsThe study has implications for the university as well as the companies to ponder on factors that satisfy interns during the virtual internship and designing an effective internship program by having a collaborative approach.Originality/valueThere is a dearth of empirical studies on internships in general and e-internship in particular, so this study fills the gap and contributes to the existing literature and provides ways to satisfy B-school interns toward e-internship by addressing the key factors.

Understanding Critical Distance Learning Issues

2013 ◽  
pp. 268-283
Author(s):  
Stephen K. Callaway ◽  
Saad M. Alflayyeh
Keyword(s):  
Student Satisfaction ◽  
Structural Equation ◽  
Empirical Studies ◽  
Positive Association ◽  
Critical Distance ◽  
Equation Modeling ◽  
Course Format ◽  
Course Features ◽  
Distance Courses ◽  
Learning Issues

Distance education has been the topic of a substantial amount of research. However, prior studies have shown mixed results when trying to determine if a difference exists in student satisfaction between students in distance courses versus traditional courses. Prior empirical studies have been too narrow in scope, and a more comprehensive model is needed to better explain the factors influencing student satisfaction. Therefore, the current study includes student demographic factors, comprehensive measures of student motivation, and course format, as well as specific course features included, to fully explain student satisfaction. Structural equation modeling is used to test the model. Results indicate a positive association between demographics and motivation, between motivation and course format, between one demographic factor and course format, between course format and preferred features, between course format and satisfaction, and between course features and satisfaction.

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