AMBIDEXTROUS INNOVATION IN STATE-OWNED ENTERPRISES IN INDIA: THE ROLE OF NEW ENTRANTS, TECHNOLOGICAL DISCONTINUITY, AND KNOWLEDGE NETWORKS

2021 ◽  
pp. 2150067
Author(s):  
NAVIN KUMAR SAXENA ◽  
SATYASIBA DAS
Keyword(s):  
Structural Equation ◽  
Manufacturing Sector ◽  
New Technology ◽  
Technology Leadership ◽  
Knowledge Networks ◽  
Equation Modeling ◽  
Government Ownership ◽  
Exploitation And Exploration ◽  
New Entrants ◽  
Market Leadership

This study examines the effects of competitive pressure by new entrants and technological discontinuity on the strategic innovations adopted by incumbent state-owned enterprises (SOEs) in India. Due to government ownership, these firms are dominant players domestically and their market leadership is challenged by new entrants. Technological discontinuity challenges technology leadership. Incumbent firms develop knowledge networks by working with partners, suppliers, and buyers. The incumbent firms must strike a balance between the exploitation of current technology and the exploration of new technology. This study aims to understand the effect of new entrants and technological discontinuity on the exploitation and exploration strategies of Indian SOEs in the manufacturing sector. The quantitative analysis is carried out using partial least squares structural equation modeling. For Indian SOEs, the technological discontinuity does affect exploitation and exploration, but new entrants have no such effect. The study confirms the moderating effect of knowledge networks on exploitation.

Association between mass collaboration and knowledge management: a case ofJordan companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hosam Alden Riyadh ◽  
Laith T. Khrais ◽  
Salsabila Aisyah Alfaiza ◽  
Abdulsatar Abduljabbar Sultan
Keyword(s):  
Knowledge Management ◽  
Organizational Structure ◽  
Structural Equation ◽  
Manufacturing Sector ◽  
Equation Modeling ◽  
Content Type ◽  
Mass Collaboration ◽  
Organization Level ◽  
Learning Techniques ◽  
The Impact

Purpose The key purpose of this research paper was to identify the association between mass collaboration and knowledge management in the context of Jordanian companies. Apart from that, this study also aims to examine the moderating effect of trust and leadership on the association between mass collaboration and knowledge management. Design/methodology/approach In this study, the researcher has followed theprimary quantitative method. For data collection, the researcher has conducted a survey questionnaire, whereas the sample was based on 323 participants from the manufacturing sector of Jordan specifically for data analysis; the technique of structural equation modeling was implemented. Findings All the independent variables, including organizational structure, adoptedtechnologies in mass collaboration and collaborative learning techniques, have a significantimpact on knowledge management and leadership. Moreover, leadership was also found to be significantly moderating the association between adopted technologies in mass collaboration and knowledge management. Similarly, trust also significantly moderates the association of organizational structure and adopted technologies in mass collaboration significantly with knowledge management. Research limitations/implications All study respondents were from Jordan, which might limit the generalizability of the findings. The researchers also invited for more researchers in the incorporation of the time sequence in the proposed causal relations and in the organization level through which mass collaboration and knowledge management. Originality/value This study promises to make a valuable contribution to the existing literature, as there was a lack of evidence in the previous studies regarding the impact of mass collaboration on knowledge management within the context of Jordan.

scholarly journals Determinants of Adoption of New Technology in Telecom Sector: A Structural Equation Modeling Approach

2018 ◽  
Vol 20 (1) ◽  
pp. 166-178 ◽  
Author(s):  
Susmita Chatterjee ◽  
Bibek Ray Chaudhuri ◽  
Debabrata Dutta
Keyword(s):  
Structural Equation Modeling ◽  
Mobile Communications ◽  
Structural Equation ◽  
Low Cost ◽  
New Technology ◽  
Equation Modeling ◽  
Technology Standards ◽  
Technology Standard ◽  
The Usa ◽  
Adoption Of New Technology

In this article, we look at the determinants of the new technology adoption by consumers in the case of mobile telecommunications. The dynamic nature of the telecom industry is a result of the frequent technological change. Consumers witness different technology standards in mobile communications, starting from the first generation (1G) to second generation (2G) subsequently to third (3G) and now experiencing fourth (4G) in some countries such as Norway, Sweden, South Korea, and the USA including ours. The movement from one standard to the other has been predicted to be smooth as all of them are vertical substitutes for each other. Given the various dimensions such as price, requirements, utility and so on, these technology standards are not perfect substitutes. The article investigates the prospect of a new technology standard roll out in India. A survey of 400 mobile phone customers in metro telecom circles has been carried out for this purpose. The study applies structural equation modeling (SEM) and explores the adoption intention of this new technology among the respondents. Results show that the presence of low-cost alternatives that is the availability of a lower technology standard poses a significant hurdle to the adoption of new technology services.

scholarly journals Technopreneurial Intentions: The Effect of Innate Innovativeness and Academic Self-Efficacy

2021 ◽  
Vol 14 (1) ◽  
pp. 238
Author(s):  
Sa’Ed M. Salhieh ◽  
Yousef Al-Abdallat
Keyword(s):  
Indirect Effect ◽  
Self Efficacy ◽  
Structural Equation ◽  
Engineering Students ◽  
New Technology ◽  
Equation Modeling ◽  
Undergraduate Engineering ◽  
Academic Self Efficacy ◽  
Self Administered Questionnaire ◽  
Positive Effect

Several factors can affect students’ intention to start a new technology-based venture (technopreneurial intentions). Understanding these factors is important when developing technical educational programs. This study investigates the effect of innate innovativeness and academic self-efficacy on technopreneurial self-efficacy and the forming of technopreneurial intentions. It does this by developing a conceptual model that relates technopreneurial intentions, technopreneurial self-efficacy, academic self-efficacy, and innate innovativeness. The data was collected from 378 undergraduate engineering students enrolled in a Jordanian university with a self-administered questionnaire survey. The results of the structural equation modeling (SEM) using AMOS showed that technopreneurial self-efficacy had a positive and significant impact on technopreneurial intentions. Academic self-efficacy had both a direct and indirect positive effect on technopreneurial intention. The indirect effect occurred through increased technopreneurial self-efficacy. Innate innovativeness had a direct effect on technopreneurial intentions, but it did not have a significant indirect effect through technopreneurship self-efficacy as was initially hypothesized. The findings suggest that those who show interest in starting a new technology-based venture have a strong belief in their abilities to perform the technological and entrepreneurial tasks needed, are confident about their ability to acquire the academic technical skills required, and have the inner motivation to seek what is technologically new and different.

Strategic alignment of IT and human resources management in manufacturing SMEs

2019 ◽  
Vol 41 (5) ◽  
pp. 830-850 ◽  
Author(s):  
François L'Écuyer ◽  
Louis Raymond ◽  
Bruno Fabi ◽  
Sylvestre Uwizeyemungu
Keyword(s):  
Structural Equation ◽  
High Performance ◽  
Manufacturing Sector ◽  
Human Resources Management ◽  
Strategic Alignment ◽  
Survey Study ◽  
Equation Modeling ◽  
Content Type ◽  
Improved Performance ◽  
Hr Function

Purpose Within the manufacturing sector, small- and medium-sized enterprises (SMEs) face specific challenges with regard to their strategic HRM capabilities. In this context, an emerging issue for both researchers and practitioners regards HR information systems (HRIS), i.e. the deployment of strategic IT capabilities to enable the firm’s high-performance work system (HPWS) capabilities and thus improve the performance of its HR function. The purpose of this paper is to address this issue by using a capability-based mediation perspective to study the strategic alignment of HR and IT. Design/methodology/approach A survey study of 206 manufacturing SMEs was realized and the data thus obtained was analyzed through structural equation modeling. Findings Results confirm that the HRIS capabilities of SMEs influence the performance of the HR function through their strategic alignment with the HPWS capabilities of these enterprises. Practical implications The results suggest that the manufacturing SMEs most active in developing their HRIS capabilities while developing their HPWS capabilities are most likely to develop a competitive advantage through the improved performance of their HR function. This is especially important in a time when firms of all sizes across the globe are waging a “war for talent,” and are enabled to do so by their strategic use of IT. Originality/value The results of the study constitute a valid basis for prediction and prescription with regards to the strategic alignment of human and IT resources.

scholarly journals Modeling Work Practices under Socio-Technical Systems for Sustainable Manufacturing Performance

2019 ◽  
Vol 11 (16) ◽  
pp. 4294 ◽  
Author(s):  
Muhammad Imran Qureshi ◽  
Rajah A/l Rasiah ◽  
Basheer M. Al-Ghazali ◽  
Maqsood Haider ◽  
Hanifah Jambari ◽  
...  
Keyword(s):  
Structural Equation ◽  
Manufacturing Sector ◽  
Technological Development ◽  
Sustainable Manufacturing ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Environmental Damage ◽  
Management Support ◽  
Manufacturing Performance ◽  
Social Environmental

In light of the overwhelming consumption of resources by the manufacturing sector, this paper examined three key subsystems that are critical in greening the sector. Whereas the extant literature has focused on technological development to reduce environmental damage, it has not analyzed profoundly how manufacturing processes can be greened effectively. Hence, using carefully gathered data of 299 respondents and structural equation modeling, this paper sought to investigate the mediating effect of social, environmental, and technical subsystems on the relationship between management support and sustainable manufacturing performance. The results show that management support has a positive relationship with sustainable manufacturing performance (p < 0.005), while social, environmental, and technical subsystems partially mediate this relationship. Hence, efforts must be taken to encourage management of manufacturing firms to support sustainable management performance, while at the same time supporting them to introduce innovative social, environmental, and technical practices.

Factors Influencing Physicians' Acceptance of e-Health in Developing Country

2016 ◽  
Vol 11 (1) ◽  
pp. 58-70 ◽  
Author(s):  
Md. Rakibul Hoque ◽  
Adnan Albar ◽  
Jahangir Alam
Keyword(s):  
Developing Countries ◽  
Structural Equation ◽  
New Technology ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Healthcare Facilities ◽  
Personal Innovativeness

E-Health is one of the solutions to provide better access for patients and physician to healthcare facilities. In developing countries, e-Health is particularly important due to a shortage of physician and medical workers. Although most physicians in developing countries like Bangladesh acknowledge the benefits of e-Health, low adoption is not uncommon. The objective of this study is to identify the critical factors affecting e-Health adoption among physicians in Bangladesh. A cross-sectional survey questionnaire method was used for this study. The structural equation modeling (SEM) with the partial least square (PLS) approach was used to analyze the data. The study found that Performance Expectancy, Effort Expectancy, Social Influence and Personal Innovativeness had a significant impact on the behavioral intention to use e-Health, while Facilitating Conditions had no significant effect. The findings of this study will facilitate the degree of more acceptance of new technology by the physicians for their own betterment.

scholarly journals Using PLS path modeling in new technology research: updated guidelines

2016 ◽  
Vol 116 (1) ◽  
pp. 2-20 ◽  
Author(s):  
Jörg Henseler ◽  
Geoffrey Hubona ◽  
Pauline Ash Ray
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
New Technology ◽  
Equation Modeling ◽  
Technology Research ◽  
Path Modeling ◽  
Statistical Tool ◽  
New Developments ◽  
Content Type ◽  
Pls Path Modeling

Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PLS. The paper aims to discuss these issues. Design/methodology/approach – This paper aggregates new insights and offers a fresh look at PLS path modeling. It presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations. Findings – PLS path modeling is the method of choice if a SEM contains both factors and composites. Novel tests of exact fit make a confirmatory use of PLS path modeling possible. Originality/value – This paper provides updated guidelines of how to use PLS and how to report and interpret its results.

A Comprehensive Study to Evaluate the Critical Success Factors Affecting Lean Concept in Indian Manufacturing Industries

2014 ◽  
Vol 592-594 ◽  
pp. 2569-2576 ◽  
Author(s):  
S. Gunasekharan ◽  
D. Elangovan ◽  
P. Parthiban
Keyword(s):  
Lean Manufacturing ◽  
Structural Equation ◽  
Success Factors ◽  
Manufacturing Sector ◽  
Equation Modeling ◽  
Management Approach ◽  
Extensive Literature ◽  
Factors Affecting ◽  
Sustainable Performance ◽  
Modern Business

Change is the word that best characterizes the nature of modern Business scenario and determines the challenges that manager’s face.Staying competitive requires looking for new ways of reducing costs and increase the quality of the company’s products. Lean thinking is considered to be one potential approach for improving organizational performance.When the flexibility seems to be an important issue in today’s highly competitive environment Lean integrated as a complete system in the organization can ensure company’s adaptation. Developed as a production system eliminating wastes in the Toyota’s plants in the 1960’s, Lean is evolving into a management approach that improves all the processes at each level of an organization. This study aims to develop a comprehensive theoretical framework that suggest a detailed perspective of the Lean manufacturing to the managers whoconsider implementing it as a possible direction towards achieving sustainable performance for their organizations. The factors which affect the implementation of lean in manufacturing sector are identified by undertaking extensive literature review and consulting the experts from academia and industry. The factors identified are modeled to find the respective loading on Lean variable using Structural Equation Modeling.

Cultural comparison for the acceptance of online apparel customization

2010 ◽  
Vol 27 (6) ◽  
pp. 550-557 ◽  
Author(s):  
Hira Cho ◽  
Yun Wang
Keyword(s):  
Structural Equation ◽  
New Technology ◽  
Equation Modeling ◽  
Content Type ◽  
Culturally Different ◽  
Adoption Of New Technology ◽  
Multigroup Structural Equation Modeling ◽  
Different Cultures ◽  
Apparel Product ◽  
Practical Implications

PurposeThe aim of this paper is to examine two culturally different countries regarding the acceptance of online customization of an apparel product.Design/methodology/approachBased on previous literature, this study established hypotheses to compare US and Taiwan college students for their acceptance of online apparel customization. Hypotheses were tested by employing multigroup structural equation modeling (MSEM).FindingsThe results identified similarities and differences between US and Taiwanese respondents in the acceptance of online apparel customization.Research limitations/implicationsThis research added knowledge to the existing literature of consumer adoption of new technology as shopping media.Practical implicationsThe paper provides insightful marketing implications for introducing online apparel customization in different cultures.Originality/valueThis is the first study to compare two extremely different cultures for the adoption of online apparel customization.

scholarly journals A Quantative Approach to Identifying Factors that Affect the Use of E-Wallets in Bahrain

2020 ◽  
pp. 1819-1839
Author(s):  
Muwafaq M. AlKubaisi ◽  
Nedaa Naser
Keyword(s):  
Structural Equation ◽  
Service Providers ◽  
New Technology ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Predictor Variables ◽  
Equation Modeling ◽  
Clear Understanding ◽  
Moderating Variables ◽  
Research Findings

Bahrain is considered the regional leader in the banking and finance sector. The e-wallet is one of the successful innovative services that was launched in 2017. The stage of identifying factors of the initial adoption of new technology is essential, but not enough as the technology provider company needs to focus on and understand the factors that affect the use and the continuity of use of e-wallet in order to maintain and sustain the user in the long term. A quantitative survey approach based on a 5-point Likert scale was used in this study. The sampling tool relies on the snowball and convenience sampling technique. The sample consisted of 660 users in Bahrain. The research used SmartPLS and SPSS software to analyze the collected data from the survey. The Structural Equation Modeling (SEM) was used to master the multiple relationships that exist between the four predictor variables [ease of use, compatibility, usefulness, and security], the satisfaction with e-wallet, continuous use of e-wallet and the demographical variables. This study found that the four predictor variables are statistically significant and supportive. The compatibility variable is the leading factor in the analysis. However, the study’s results indicated that the moderating variables were also found to be statistically insignificant. The research findings contribute to the service providers and marketers with a clear understanding of the factors that affect the use of e-wallets and continuance use. Also, there was an addition to the theoretical implications indicated by the significant direct relationship between continuance use and compatibility

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