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 Insurers' risk management as a business process: a prospective competitive advantage or not?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Danish Ahmed ◽  
Xie Yuantao ◽  
Umair Saeed Bhutta
Keyword(s):  
Risk Management ◽  
Competitive Advantage ◽  
Business Process ◽  
Dynamic Capabilities ◽  
Discriminant Validity ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Equation Modeling ◽  
Content Type ◽  
Convergent And Discriminant Validity

PurposeInsurance companies exist to manage the risk of others, which is why they are perceived to be competitive in risk management (RM). Considering this, we investigate how different RM capabilities make insurers effective in RM. These capabilities include understanding risk and risk management (URRM), risk identification (RI), risk assessment and analysis (RAA) and risk monitoring (RMON) activities in insurance companies. In addition, the authors probe how these capabilities can jointly yield a competitive advantage for the insurance industry under the resource-based view (RBV) and dynamic capabilities perspective (DCP).Design/methodology/approachThe authors present a latent variable RM model for the insurance industry and employ structural equation modeling (SEM) to test the hypotheses. Furthermore, the authors also conduct confirmatory factor analysis (CFA) and convergent and discriminant validity analysis for model fit and invariance testing, respectively.FindingsThe results show that insurers who investigated RM-related capabilities directly influence their risk management practices (RMPs). Moreover, improving these capabilities will make insurers more effective in managing the risks of others. Thus, RM as a business process will yield a competitive advantage for the insurance sector. The findings are supported by the theoretical insights presented by the RBV and DCP. Furthermore, the model also adheres to the convergent and discriminant validity cut-off values.Originality/valueTo the best of the authors’ knowledge, this is the first study examining insurers' RM practices as a source of a competitive advantage.

Common Method Bias in PLS-SEM

2015 ◽  
Vol 11 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation ◽  
Discriminant Validity ◽  
Least Squares Method ◽  
Common Method ◽  
Equation Modeling ◽  
Common Method Bias ◽  
Validity Assessment ◽  
Convergent And Discriminant Validity ◽  
Partial Least Squares Method ◽  
Method Bias

The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated. A practical approach is presented for the identification of common method bias based on variance inflation factors generated via a full collinearity test. The author's discussion builds on an illustrative model in the field of e-collaboration, with outputs generated by the software WarpPLS. They demonstrate that the full collinearity test is successful in the identification of common method bias with a model that nevertheless passes standard convergent and discriminant validity assessment criteria based on a confirmation factor analysis.

Attitude to Non-Violence Scale: Validity and Practical Use

2015 ◽  
Vol 32 (13) ◽  
pp. 2018-2045 ◽  
Author(s):  
Rhonda G. Craven ◽  
Marjorie Seaton ◽  
Alexander S. Yeung
Keyword(s):  
Structural Equation ◽  
Discriminant Validity ◽  
Equation Modeling ◽  
Validity Scale ◽  
Equivalence Tests ◽  
Convergent And Discriminant Validity ◽  
Positive Attitudes ◽  
Secondary Classes ◽  
Violence Attitudes ◽  
Senior Secondary

This study used recent advances in attitude and self-perception research to develop an Attitude to Non-Violence Scale (ANVS). Participants were students from six high schools in Australia ( N = 727). Confirmatory factor analysis using within-construct and between-construct validation approaches found two positive attitude sub-scales: Cognitive (proactive understanding) and Affective (do not endorse violence), both showing convergent and discriminant validity. Scale equivalence tests found that the sub-scales were applicable to boys and girls and to junior and senior grades. Structural equation modeling found that boys had less supportive attitudes to non-violence cognitively, whereas female students in senior secondary classes had less positive attitudes to non-violence affectively. The ANVS can be easily administered to assess youth’s non-violence attitudes, which may direct interventions focusing on boys’ cognitive aspects while maintaining girls’ positive affective attitudes toward non-violence as they mature. The positively framed instrument is suitable for education settings especially in high-risk locations where violence is prevalent.

Enhancing supply chain performance through collaborative planning, forecasting, and replenishment

2019 ◽  
Vol 25 (4) ◽  
pp. 625-646 ◽  
Author(s):  
Hassan Barau Singhry ◽  
Azmawani Abd Rahman
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Collaborative Planning ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Innovation Capability ◽  
Manufacturing Companies ◽  
Content Type

Purpose Despite the importance of collaborative planning, forecasting, and replenishment (CPFR), its influence on supply chain innovation capability (SCIC) and supply chain performance (SCP) has not been sufficiently examined. The purpose of this paper is to examine the antecedence of SCP through CPFR and SCIC. Design/methodology/approach Through cluster and stratified random sampling, 286 responses from top managers of 1,574 Nigerian manufacturing companies were analyzed. Data analysis was performed using structural equation modeling with AMOS graphics. Findings The results show that SCIC has a full mediating effect on the relationship between CPFR and SCP. Specifically, CPFR has a significant relationship with both SCP and SCIC, and SCIC also relates significantly to SCP. Practical implications This study offers implications for manufacturers in developing countries in general, and in Nigeria in particular, by providing a guideline on how to improve SCP through CPFR. Originality/value The paper contributes to the limited studies on CPFR and SCP by extending this line of study into the realm of innovation capability and innovation. It integrates the social exchange theory and the dynamic capabilities theory to examine the collaborative processes of CPFR in the supply chain context. This study stressed the importance of boundary theoretical spanning by extending CPFR and SCP into the domain of innovation capability.

scholarly journals Determinants of Green Innovation to Achieve Sustainable Business Performance: Evidence From SMEs

2021 ◽  
Vol 12 ◽  
Author(s):  
Yasser Baeshen ◽  
Yasir Ali Soomro ◽  
Muhammad Yaseen Bhutto
Keyword(s):  
Structural Equation ◽  
Discriminant Validity ◽  
Group Analysis ◽  
Integrative Model ◽  
Equation Modeling ◽  
Group Differences ◽  
Green Innovation ◽  
Bottom Line ◽  
Significant Group ◽  
Sustainable Performance

Environmental degradation and global warming are major challenges to humankind in the twenty-first century. Thus, businesses are now adopting and incorporating more sustainable manufacturing methods to produce environmental products and services. It is inevitable for organizations to adopt green practices and achieve sustainable performance. This extant research addresses how to obtain sustainable development (SD) through green innovation (GRIN). The main purpose of this study is to develop a comprehensive model by integrating natural resource-based view (NRBV) and triple bottom line (TBL) framework. Three antecedents namely green absorptive capacity (GAC), sustainable human capital (SHC), and organization support (OS) were selected, and their influence was checked on GRIN of the SMEs from manufacturing sector. This study included all three factors of TBL: environmental, economic, and social sustainability in terms of GRINs possible consequences. Data were randomly collected from 304 firms in the kingdom of Saudi Arabia through questionnaire. Convergent and discriminant validity analyses were conducted to assure validity and reliability, and structural equation modeling (SEM) was utilized to assess the relationships between variables using smartPLS 3.0 software. Further, firms were categorized into two groups based on company size—small and medium—to explore group differences. Hence, firm size was included as a moderator in the proposed model and multi-group analysis (MGA) was performed. The results indicate that GAC, SHC, and OS have positive influence on GRIN within SMEs. Further, results reveal GRIN had strong significant impact on all three variables of sustainable performance. The study concludes with MGA results that provided evidence of significant group differences, with a stronger relationship between GAC and GRIN in medium-sized firms compared to small-sized firms. Similarly, the relationship between GRIN and environmental performance was stronger in medium-sized firms than small-sized firms. This study is unique and provides practical and theoretical implications. This paper offers an integrative model for sustainability which may be of interest to scholars, marketers, and policymakers.

Linking strategic entrepreneurship to business growth in Iranian IoT-based companies

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Babak Ziyae ◽  
Majid Vagharmousavi
Keyword(s):  
Competitive Advantage ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Business Strategies ◽  
Equation Modeling ◽  
Continuous Change ◽  
Business Growth ◽  
Content Type ◽  
Strategic Entrepreneurship ◽  
The Relationship

Purpose Strategic entrepreneurship (SE) is effective in the formation of business strategies that involve simultaneous opportunity-seeking and advantage-seeking behaviors. SE revitalizes firms to achieve competitive advantage in the current turbulent markets. The purpose of this paper is to understand in more detail how SE influences business growth (BG) through the lens of dynamic capabilities (DC) theory. Design/methodology/approach Using a quantitative research method and structural equation modeling technique, the measurement and structural models were developed to test the research hypotheses. For this purpose, a survey was conducted among 159 internet of thing (IoT)-based companies in Iran. Findings The findings show that DC theory provides the theoretical underpinning to describe the effect of SE and its dimensions on entrepreneurial opportunity recognition (EOR). Results also reveal that EOR mediates the relationship between SE and BG. Furthermore, this research empirically verifies that organizational entrepreneurship and value creation moderate the relationship between EOR and BG. Originality/value IoT identifies a pathway for continuous change that helps to improve firms’ competitiveness and innovation. This paper provides a new insight into how Iranian IoT-based companies can enhance their SE to recognize entrepreneurial opportunities and gain competitive advantage. Mainly, this study singles out and discusses the variegated features that characterize the implementation of SE by Iranian IoT-based companies having different characteristics.

scholarly journals Nurture interest-driven creators in programmable robotics education: an empirical investigation in primary school settings

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Siu-Cheung Kong ◽  
Yi-Qing Wang
Keyword(s):  
Primary School ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Equation Modeling ◽  
School Students ◽  
Robotics Education ◽  
Convergent And Discriminant Validity ◽  
Confirmatory Factor ◽  
Relationship Of ◽  
The Relationship

AbstractIn response to the call from the founders of the Interest-Driven Creator (IDC) theory, this study aimed to explore the relationship of the interest loop with creativity in the context of robotics education. Specifically, we designed a programmable robotics course for primary school students. We attempted to explore in detail how interest loop, i.e., triggering interest, immersing interest, and extending interest, exerts influences on students’ robotics creation. Eight hundred one online questionnaires were collected from students who participated in our designed programmable robotics activities. Confirmatory factor analysis (CFA) was first used for validation of each study variable, and results suggested a good fit of the study variables in terms of convergent and discriminant validity. Then, structural equation modeling (SEM) was conducted for examining the potential relationships between them, and results indicated significant and positive paths from triggering interest to immersing interest, and from immersing interest to extending interest, suggesting the valid theoretical proposition of interest loop of IDC theory. In addition, immersing interest is positively related to robotics creation, which in turn increases the chance of extending interest. Our findings suggested the importance of raising students’ interest in robotics learning such that young students can become life-long interest-driven creators. Implications of the study were discussed at the end of the paper.

scholarly journals Knowledge sharing and innovation capability at both individual and organizational levels: An empirical study from Vietnam’s telecommunication companies

2020 ◽  
Vol 15 (2) ◽  
pp. 275-301 ◽  
Author(s):  
Tuan Phong Nham ◽  
Tuyet-Mai Nguyen ◽  
Nam Hoai Tran ◽  
Hao Anh Nguyen
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Organizational Innovation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Extensive Literature ◽  
Innovation Capability ◽  
Firm Innovation ◽  
Telecommunication Companies ◽  
Organizational Levels

AbstractThis paper aims at investigating the relationship between knowledge sharing activities and innovation capability at both individual and organizational levels. By reviewing extensive literature, a conceptual framework is built with integrating three factors: knowledge sharing, individual innovation capability and firm innovation capability. This study applies structural equation modeling (SEM) to analyze the data collected from 392 employees working at major Vietnam’s telecommunication companies. Empirical results show that knowledge sharing including knowledge donating, knowledge collecting play an important role in improving individual innovation capability. There is no direct link between knowledge collecting and organizational innovation capability, while knowledge donating has direct positive impact on product and managerial innovation. Furthermore, the individual innovation capability acts as a mediating variable between knowledge sharing practices and firm innovation capability. Implications for academics and practitioners are provided in this study.

Fashion attributes preferred by young Bangladeshi consumers while buying casual clothes

2018 ◽  
Vol 22 (4) ◽  
pp. 540-556 ◽  
Author(s):  
Tamgid Ahmed Chowdhury ◽  
Tania Akter
Keyword(s):  
Structural Equation ◽  
Discriminant Validity ◽  
Apparel Industry ◽  
Primary Data ◽  
Equation Modeling ◽  
Male And Female ◽  
Content Type ◽  
Female Consumers ◽  
Convergent And Discriminant Validity ◽  
Made In

PurposeThe purpose of this paper is threefold: first, to identify a list of fashion attributes preferred by young Bangladeshi consumers while buying casual clothes; second, to test the applicability of Kano’s quality theory in the apparel industry; and, finally, to explore the differences in fashion priorities between male and female consumers.Design/methodology/approachThis study is based on primary data collected through a survey from 1,177 young consumers of urban Bangladesh. Structural equation modeling was used to develop the attribute index. Also, convergent and discriminant validity and construct reliability of the index were tested.FindingsThe study offers a four-dimensional 19-item index representing the desirable fashion attributes. This paper also confirms the applicability of Kano’s theory in the apparel industry. Results revealed that “well-designed casual attires” and “discount offers” are top-ranking attributes as perceived by both male and female consumers. However, there are differences in the preferences. Women prioritized irritation-free, durable and soft fabric, whereas men preferred attributes such as suitability of color and functionality in the workplace.Practical implicationsThe findings of the study provide clothing suppliers of Bangladesh with information that may be utilized while preparing their options. For instance, as casual clothes are frequently worn and washed, a quality fabric that looks good even after several washes is highly recommended. Dress manufacturers need to offer colorful attires to women, whereas for men, more color options should be available. Casual clothes should be made in a way that they are acceptable in the community and workplace.Originality/valueAs research on exploring desirable fashion qualities in developing markets (especially in South Asian region) is rare, this study is contributing to the literature by offering validated apparel attribute index.

A Contribution Toward the Adaptation and Validation of the Entrepreneurial Self-Efficacy Scale in Italy and Portugal

2016 ◽  
Vol 25 (4) ◽  
pp. 670-687 ◽  
Author(s):  
Paola Spagnoli ◽  
Susana C. Santos ◽  
António Caetano
Keyword(s):  
Structural Equation Modeling ◽  
Self Efficacy ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Reliability And Validity ◽  
Factorial Analysis ◽  
Equation Modeling ◽  
Italian Version ◽  
Previous Evidence ◽  
Convergent And Discriminant Validity

Entrepreneurial self-efficacy (ESE) seems to play a key role in the entrepreneurial career choice. The main goal of this study is to examine the reliability and validity of the ESE Scale proposed by McGee, Peterson, Mueller, and Sequeira both in Italy and Portugal. In particular, this study aims to strengthen and extend previous evidence of the Italian version of the ESE Scale and to assess its psychometric properties in Portugal. Furthermore, it aims at investigating the differences between two groups of participants both in Italy and Portugal: entrepreneurs and students. Construct, convergent, and discriminant validity of the ESE Scale were assessed through confirmatory factorial analysis and multigroups confirmatory factorial analysis using structural equation modeling. Configural, full metric, and partial scalar invariance were achieved. Moreover, correlational analysis, reliability analysis, and one-way analysis of variance were conducted. The findings support the use of the ESE Scale in Italy and Portugal for research and practical purposes. Limitation and suggestion for further research are also discussed.

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